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All Journal JOIV : International Journal on Informatics Visualization Sinkron : Jurnal dan Penelitian Teknik Informatika Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Jurnal Pilar Nusa Mandiri JTERA (Jurnal Teknologi Rekayasa) Jurnal Ilmiah Matrik SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI Patria Artha Technological Journal JURIKOM (Jurnal Riset Komputer) Jurnal Kreativitas PKM JuSiTik : Jurnal Sistem dan Teknologi Informasi Komunikasi Applied Technology and Computing Science Journal Building of Informatics, Technology and Science Abdimas UNWAHAS : Jurnal Pengabdian Masyarakat UNWAHAS Jurnal Informasi dan Teknologi Jurnal Mnemonic Jurnal Teknik Informatika C.I.T. Medicom Journal of Computer System and Informatics (JoSYC) Masyarakat Berdaya dan Inovasi Jurnal Sistem Komputer dan Informatika (JSON) Community Development Journal: Jurnal Pengabdian Masyarakat JUKI : Jurnal Komputer dan Informatika BERNAS: Jurnal Pengabdian Kepada Masyarakat Bakti Cendana: Jurnal Pengabdian Masyarakat MEANS (Media Informasi Analisa dan Sistem) Patria : Jurnal Pengabdian Kepada Masyarakat Jurnal Pengabdian kepada Masyarakat Nusantara Jurnal Abdimas Ilmiah Citra Bakti (JAICB) Insyst : Journal of Intelligent System and Computation Jurnal Abdimas Bina Bangsa Decode: Jurnal Pendidikan Teknologi Informasi J-Intech (Journal of Information and Technology) Jurnal Teknik Informatika Unika Santo Thomas (JTIUST) Indonesian Community Journal Jurnal Pengabdian Pada Masyarakat Indonesia (JPPMI) Konstelasi: Konvergensi Teknologi dan Sistem Informasi Asian Journal of Community Services (AJCS) Dedikasi: Jurnal Pengabdian Kepada Masyarakat Applied Research in Science and Technology Jurnal Maklumatika J-Icon : Jurnal Komputer dan Informatika Jurnal Nusantara Berbakti Bulletin of Informatics and Data Science Aspirasi : Publikasi Hasil Pengabdian dan Kegiatan Masyarakat Jurnal Informatika Polinema (JIP) IMPACTS: International Journal of Empowerment and Community Services Journal of Information Technology
Alfry Aristo Jansen Sinlae
Universitas Katolik Widya Mandira
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GLCM and PSNR Analysis of Woven Fabric Images Made from Natural Dyes Due to Sunlight Exposure Batarius, Patrisius; Santoso, Albertus Joko; Sinlae, Alfry Aristo Jansen
JOIV : International Journal on Informatics Visualization Vol 8, No 4 (2024)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.8.4.2265

Abstract

Traditional woven fabrics generally use natural dyes that come from the local area. Natural dyes are often considered low quality if exposed to sunlight. This study aims to analyze the effect of sunlight on the image of woven fabrics made from natural dyes. The natural dyes used come from noni (Morinda citrofolia L), which produces a red color; Tarum (Indigofera tinctoria L), which produces a blue-black color; and corn starch juice, which produces a white color. A thread made of cotton is dipped and cooked to produce the desired color. The analysis is done by comparing the value of GLCM (Grey Lever Co-Coruent Matrix) features, changes in the value of Mean Square Error (MSE), and Peak Signal Noise Ratio (PSNR) with the original image. The original image is taken before the woven fabric is dried in the sun. The changing image is taken after the woven fabric is dried in the sun with variations in drying times. The drying time of woven fabric is 1 hour. Sun drying starts from 09:00 to 14:00. The distance between the original and sun-dried images is 30 cm. The original image and the sun-dried image went through cropping and resizing the image to be the same size. The grayscale image type is used for the GLCM, MSE, and PSNR comparison process. The image size used is 128x128 for woven fabric images with three kinds of colors (white, red, and blue) and 256x256 pixels for images with white color. The results showed that the quality of the images produced at drying hours of 09.00-10.00 to 14.00-15.00 tended to be low, with a significant difference between the original image and the changed image. The lowest point of quality lies in the drying time of 12.00-13.00 and 13.00-14.00. For the GLCM features, the sun-dried image at 14.00-15.00 has a homogeneity value close to the original value. For contrast features, the image dried at 10.00-11.00 has a contrast value that is close to the original image contrast value. This shows the smaller the difference in pixel intensity in the image.
Pengembangan Sistem Pengaduan Layanan Masyarakat Menggunakan Metode Rapid Application Development (RAD) Yanuardi, Yanuardi; Azhari, Lukman; Sinlae, Alfry Aristo Jansen; Alexander, Allan Desi
J-INTECH (Journal of Information and Technology) Vol 12 No 1 (2024): J-Intech : Journal of Information and Technology
Publisher : LPPM STIKI MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/j-intech.v12i1.1201

Abstract

The digital era has demanded efficient and responsive public services as a fundamental need for society, including in the aspect of service complaints. With the village office acting as an intermediary between the government and the public, challenges such as convoluted complaint procedures, lack of transparency, and resource limitations hinder the provision of responsive services. This research aims to address these issues through the development of a community service complaint system based on a website using the Rapid Application Development (RAD) method. RAD method was chosen for its ability to develop systems efficiently, with active user involvement, ensuring the system meets user needs. The research outcome is a community service complaint system based on a website, allowing the public to easily submit complaints, monitor their status, and view responses, while enabling officers to manage complaint data and provide direct responses. Usability testing of the system yielded an average score of 90.83%, indicating a high level of user satisfaction.
Penguatan Kapasitas Pengelolaan BUMDes Di Desa Pariti, Kecamatan Sulamu Kabupaten Kupang-NTT Baunsele, Anselmus Boy; Boelan, Erly G.; Tukan, Gerardus Diri; Taek, Maximus M.; Amaral, Maria Agustin Lopes; Missa, Hildegardis; Sooai, Adri Gabriel; Sinlae, Alfry A. J.; Ratumakin, Paulus A. K. L.; Ketmoen, Adrianus
Bakti Cendana Vol 6 No 1 (2023): Bakti Cendana: Jurnal Pengabdian Masyarakat
Publisher : LPPM Universitas Timor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32938/bc.6.1.2023.37-48

Abstract

Badan Usaha Milik Desa (BUMDes) merupakan suatu badan usaha berbadan hukum, yang bertujuan untuk dapat meningkatkan perekonomian desa khususnya untuk peningkatan kesejahteraan masyarakat. Kegiatan penguatan kapasitas pengelolaan BUMDes dan sharing pengalaman pengelolaannya dalam kegiatan pengabdian pada masyarakat ini, bertujuan untuk dapat memberikan pengetahuan dan pengalaman baru bagi masyarakat. Kegiatan ini dilaksanakan di Desa Pariti, Kecamatan Sulamu, Kabupaten Kupang. Kegiatan ini diikuti oleh 20 oang peserta diantaranya Pemerintah Desa, pengurus BUMDes Gempar dan tokoh masyarakat. Metode pelaksanaan berupa sosialisasi melalui ceramah dan diskusi, sharing pengalaman dengan Kepala Desa Hadakewa serta hasil tes kemampuan (pre test dan post test). Kesimpulan dari hasil kegiatan ini yaitu terdapat peningkatan kemampuan terhadap substansi dan sistem tata kelola BUMDes. Kedepannya kegiatan ini dapat dilanjutkan dengan menghadirkan narasumber-narasumber yang telah sukses mengelola BUMDes
Pelatihan Digital Marketing Dalam Memasarkan Produk Badan Usaha Milik Desa Nani, Paskalis A.; Lopes Amaral, Maria Augustin; Boelan, Erly G.; Baunsele, Anselmus; Sinlae, Alfry Aristo Jansen; Ketmoen, Adrianus
Bakti Cendana Vol 6 No 1 (2023): Bakti Cendana: Jurnal Pengabdian Masyarakat
Publisher : LPPM Universitas Timor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32938/bc.6.1.2023.77-84

Abstract

This non-profit activity was carried out by the teaching team of Widia Mandira Catholic University as part of BUMDes digital marketing training in Parity and Oeteta villages. This training aims to provide digital marketing knowledge to the managers of Gempar BUMDes in Pariti Village and Lentera Kasih BUMDes in Oeteta Village, which will be implemented from August 3, 2022. The method used is a modern approach with a participatory rural approach in the form of training and mentoring, usually in three stages. Preparation, training and evaluation to better understand the business in her two villages, Parity Village and Oeteta Village. A total of 30 participants, including BUMDes administrators, village governments, community leaders, MSMEs and youth groups from two villages, participated in this training, and the average age was relatively young, including beginners. The results achieved have increased the village`s business knowledge of the importance of digital marketing (DM) to increase the company's sales and sustainability. This activity aims to help stakeholders increase their income in the digital age, increase their knowledge and avoid being eroded by the changing times.
Transformasi Pengelolaan Bank Sampah Melalui Pemanfaatan Teknologi Informasi: Peluang Ekonomi Baru Sinlae, Alfry Aristo Jansen; Samane, Ignatius Pricher A. N.; Amaral, Maria Augustin Lopes; Manehat, Beatrix Yunarti
Bakti Cendana Vol 8 No 1 (2025): Bakti Cendana: Jurnal Pengabdian Masyarakat
Publisher : LPPM Universitas Timor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32938/bc.8.1.2025.40-52

Abstract

Kendala dalam mengelola sampah di masyarakat terus menjadi tantangan yang sulit diatasi. Terutama, masalah sampah plastik disebabkan oleh kurangnya pemahaman warga tentang tata kelola sampah. Salah satu solusi sederhana yang telah diterapkan adalah melalui pengembangan program bank sampah di Kecamatan Maulafa, Kota Kupang, Provinsi Nusa Tenggara Timur. Dalam pelaksanaan program ini, pendampingan mitra dilakukan mulai dari pembuatan situs web hingga promosi yang menarik di media sosial untuk Bank Sampah Mutiara Timor. Hasilnya menunjukkan kelancaran program dengan meningkatnya jumlah nasabah di Bank Sampah Mutiara, terutama melibatkan 120 generasi muda di Kota Kupang. Selain itu, pengabdian ini juga memperkaya sumber daya manusia di Bank Sampah dan mempermudah akses melalui situs web yang telah dibuat. Harapan ke depannya adalah agar kegiatan pengabdian ini dapat terus berlanjut, membantu mitra dalam menyebarkan sosialisasi, khususnya kepada ibu rumah tangga di Kota Kupang, untuk menabung sampah dan menghasilkan uang dari kegiatan tersebut.
Optimalisasi Pemilihan Sapi Layak Kirim dengan Analytical Hierarchy Process Berbasis Web: Studi Kasus Karantina Ainiba Suni, Adventus Yoseph Berek; Batarius, Patrisius; Sinlae, Alfry Aristo Jansen
Jurnal Informatika Polinema Vol. 11 No. 3 (2025): Vol. 11 No. 3 (2025)
Publisher : UPT P2M State Polytechnic of Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33795/jip.v11i3.7295

Abstract

Beternak sapi merupakan sektor penting dalam perekonomian Indonesia, khususnya dalam memenuhi kebutuhan distribusi sapi antarwilayah. Namun, Karantina Ainiba sering menghadapi kendala dalam pengiriman sapi akibat ketidaksesuaian kriteria kesehatan, berat, dan kondisi fisik, yang berpotensi menimbulkan kerugian ekonomi. Penelitian ini bertujuan mengembangkan Sistem Pendukung Keputusan (SPK) berbasis web dengan metode Analytical Hierarchy Process (AHP) untuk mengoptimalkan pemilihan sapi layak kirim. Sistem ini mempertimbangkan tiga kriteria utama: berat sapi, kesehatan, dan kondisi fisik, yang dinilai oleh pakar (dokter hewan) menggunakan skala perbandingan berpasangan. Hasil penelitian menunjukkan bahwa metode AHP mampu memberikan rekomendasi objektif dengan konsistensi rasio (CR) < 0,1, mengindikasikan validitas hasil. Sapi dengan kode S-001 terpilih sebagai alternatif terbaik (nilai 0,573) karena keunggulan pada berat ideal (200–250 kg) dan kesehatan. Implementasi sistem menggunakan model Waterfall mencakup analisis kebutuhan, perancangan, pengujian (black box testing), dan operasionalisasi. Pengujian fungsional membuktikan sistem berjalan optimal, termasuk fitur login, input data, dan perhitungan AHP. Keterbatasan penelitian terletak pada jumlah sampel (20 sapi) dan kriteria yang belum mencakup faktor dinamis seperti harga pasar. Untuk pengembangan selanjutnya, disarankan menambah variabel seperti usia atau riwayat vaksinasi, mengintegrasikan AHP dengan metode lain seperti TOPSIS, serta mengembangkan versi mobile untuk kemudahan survei lapangan. Sistem ini diharapkan dapat meningkatkan efisiensi seleksi sapi dan mengurangi kerugian ekonomi di Karantina Ainiba.
Hybrid Gradient Boosting and SMOTE-ENN for Toddler Nutritional Status Classification on Imbalanced Data Sinlae, Alfry Aristo Jansen; Erkamim, Moh.; Fitriyadi, Farid; Suhery, Lilik; Destriana, Rachmat
Bulletin of Informatics and Data Science Vol 3, No 2 (2024): November 2024
Publisher : PDSI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61944/bids.v3i2.93

Abstract

Stunting in toddlers remains a serious global health issue with long-term impacts on children's physical and cognitive development. One of the main challenges in classifying nutritional status is class imbalance, where the number of normal cases significantly exceeds that of minority classes such as stunted and severely stunted. This study aims to develop a hybrid approach by integrating the Gradient Boosting algorithm with the SMOTE-ENN (Synthetic Minority Oversampling Technique–Edited Nearest Neighbors) method to improve classification performance on imbalanced data. The dataset used was obtained from the Kaggle platform, consisting of 121,000 entries with four nutritional status categories. Data preprocessing included label encoding, numerical feature standardization, and stratified data splitting with an 80:20 ratio. The model was evaluated using accuracy, precision, recall, F1-score, and ROC-AUC metrics. The proposed hybrid model successfully increased the recall for the stunted class from 61.80% to 98.41%, and the F1-score from 71.93% to 83.58%. Overall accuracy improved from 92.39% to 93.35%, while the ROC-AUC score increased from 99.08% to 99.63%. These findings demonstrate that integrating Gradient Boosting with SMOTE-ENN is effective in enhancing sensitivity to minority classes and improving overall multi-class classification performance.
Analisis Preferensi Konsumen dalam Memilih Smartphone dengan Metode MAIRCA dan SAW Ngaga, Emerensiana; Sinlae, Alfry Aristo Jansen; Tedy, Frengky; Samane, Ignatius Pricher A. N.; Amal, Yulius Santana
JTERA (Jurnal Teknologi Rekayasa) Vol 10, No 1: Juni 2025
Publisher : Politeknik Sukabumi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31544/jtera.v10.i1.2025.11-18

Abstract

Perkembangan teknologi yang pesat telah menjadikan smartphone sebagai kebutuhan penting dalam kehidupan sehari-hari. Konsumen dihadapkan pada beragam pilihan perangkat dengan spesifikasi yang berbeda, seperti performa, harga, kualitas kamera, daya tahan baterai, popularitas, dan purna jual. Penelitian ini bertujuan untuk menganalisis preferensi konsumen dalam memilih smartphone menggunakan metode MAIRCA (Multi-Attribute Ideal-Real Comparative Analysis) dan SAW (Simple Additive Weighting). Metode MAIRCA digunakan untuk menghitung selisih antara nilai ideal dan nilai aktual dari masing-masing kriteria, sedangkan metode SAW digunakan untuk menormalisasi dan memberikan bobot pada setiap kriteria. Hasil penelitian menunjukkan bahwa merek seperti Apple dan Samsung menempati posisi teratas berdasarkan kriteria performa dan popularitas, sementara Xiaomi unggul dalam kategori harga dan daya tahan baterai. Kesimpulannya, kedua metode ini efektif dalam mengevaluasi smartphone berdasarkan kebutuhan konsumen dan memberikan rekomendasi yang lebih obyektif dalam proses pengambilan keputusan. Temuan ini diharapkan dapat membantu konsumen dalam memilih smartphone yang paling sesuai dengan kebutuhan mereka serta memberikan wawasan bagi produsen dalam mengembangkan produk yang lebih tepat sasaran.
Artificial Neural Network-Based Prediction Model Back Propagation on Blood Demand and Blood Supply Tedy, Frengky; Batarius, Patrisius; Samane, Ign. Pricher A. N.; Sinlae, Alfry Aristo Jansen
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 7 No 6 (2023): December 2023
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v7i6.5508

Abstract

The balance between blood demand and supply at the Indonesian Red Cross Blood Transfusion Unit (UTD-PMI) is crucial. This condition must be maintained to reduce unused or expired blood supplies. Despite the situation in UTD-PMI, where the blood supply exceeds demand, there is still a shortage of blood when needed by patients. This research aims to model the prediction of blood demand and supply for each blood type using the Back Propagation artificial neural network approach. Data from the last 3 years, from 2020 to 2022, were utilized in this research process. There are three stages in this research process. The first stage involves the training process, using data from January 2020 to December 2021. The testing process utilizes data from January 2021 to December 2022. The prediction process involves displaying the forecasted data for the next 12 months from January to December 2023. The accuracy of the calculations is assessed using the mean square error (MSE). Ultimately, the research results present the prediction model for the four types of blood with respect to the demand and supply. These findings can serve as a reference to regulate future blood donation activities carried out by the UTD-PMI.
Web-Based Expert System for Dragon Fruit Disease Diagnosis Using Bayes Method Koa, Dionisius Raffi; Mau, Sisilia Daeng Bakka; Sinlae, Alfry Aristo Jansen
Applied Research in Science and Technology Vol. 4 No. 2 (2024): Applied Research in Science and Technology
Publisher : Research and Social Study Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33292/areste.v4i2.69

Abstract

Dragon fruit cultivation in Kampung Daun Baumata has faced significant challenges due to plant diseases, with farmers reporting a 15% yield reduction in 2022. This study addresses this critical agricultural problem by developing an innovative web-based expert system that utilizes Bayesian probability theory for accurate and timely disease diagnosis. The system provides farmers and agricultural stakeholders with an accessible digital tool to identify common dragon fruit diseases, including stem rot, anthracnose, and fungal infections, through symptom analysis and probability calculations. Implemented using PHP programming language and MySQL database, the expert system offers several advantages over traditional diagnostic methods. It operates independently of human experts, delivers real-time results, and provides prevention recommendations. The Bayesian approach enables the system to process uncertain information and update disease probabilities as new symptom data becomes available, significantly improving diagnostic accuracy compared to conventional methods. Field testing demonstrates the system's effectiveness in supporting farmers' decision-making processes, enabling early disease detection, and facilitating appropriate treatment measures. The implementation of this technological solution has the potential to reduce economic losses, improve crop yields, and promote sustainable farming practices in dragon fruit cultivation. By bridging the gap between farmers and agricultural expertise, this research contributes to the digital transformation of agricultural disease management in developing regions.
Co-Authors Abineno, Richard Sanni Abineno, Richard Sanni Abineno, Richard Sanni Adri Gabriel Sooai Adrianus Ketmoen Ady Bakri, Asri Afrizal Zein Agustina Melyanti Dolu Agustina Melyanti Dolu Ahmad Arif Zulfikar Alamsyah, Dedy Albertus Joko Santoso, Albertus Joko Alexander Ronaldo Banunaek Alexander, Allan D Amal, Yulius Santana Amsal Nasution, Muhammad Anselmus Boy Baunsele Aplianus Yanto Taek Apryanus Fallo Ari Setiawan Arief Andy Soebroto Arisantoso Arisantoso Ayu Lawalu, Stephanie Perdana Azhari, Lukman Badaruddin, Muliati Badhe, Yakobus Rega Baunsele, Anselmus Beatrix Yunarti Manehat Bello, Maria Florencia Yunita Benyamin Yusuf Tae Benyamin Yusuf Tae Bernadeta Apriliani Tanggur Bernadeta Apriliani Tanggur Bernadeta H. Palma Unggas Bernadeta H. Palma Unggas Bioni Sena Boelan, Erly G. Bunga, Hendra Setiawan Oly Charmelia Yunizar Jerandu Damuri, Amat Daniarti, Yeni Dedi Kustiawan Dedy Alamsyah Dedy Alamsyah Demitriana Maubili Seran Destriana, Rachmat Dilen, Silifosto Sili Donatus Joseph Manehat Edhie Rachmad, Yoesoep Elfandi Jodison Bani Elfandi Jodison Bani Elisabeth F. Fahik Elu, Maria Mechtildis Emanuel Jando Emerensiana Ngaga Endah Emiarti Engelbertus G. Ch. Watu Enike Tje Yustin Dima Erly Grizca Boelan Farida Mony Filbrino Acuan Beda Filbrino Acuan Beda Fitriyadi, Farid Florian G. A. Toni Florianus Kun Fatima Frans Nyong Fransiska Ivon Kaka Fransiskus H. Kaki Doy Fransiskus H. Kaki Doy Frengky Tedy Frengky Tedy Fryda Fatmayati Gerardus Diri Tukan Gordianus Pratama Baho Griselda Anastasia Da Piedade Hendrikus L. Kaha Hendrikus Likusina Kaha Henriques, Romeu O. Herdiansah, Arief Hildegardis Missa Ignatius Pricher Agung Nirwanto Samane Indra Nanda Indriyati Indriyati Indryati, Indryati Irdiana, Sukma Jadho, Oliva Jamaludin . Jerandu, Charmelia Yunizar Josep Rinaldo Nahak Josep Rinaldo Nahak Juli Budi Satya Juliana Waromi, Juliana Karmelita Monis Yempormiasse Karolus Tatu Sius Koa, Dionisius Raffi Kristianus Simon Hale Molan Lake, Floribertha Lasariman, Laurens Abrino Latuheru, Grace Rianti Lawalu, Stephanie P.A Lilik Suhery, Lilik Lukman Azhari Lyra Ruchiyat Permata Lyra Ruchiyat Permata M. Hadi Prayitno Man, Gilang M. C. P. Man, Gilang Mario Conroy Paridy Maria Augustin Lopes Amaral Maria Bernadethe Mawarni Gelu Wutun Maria Ines Teresa Ximenes Maria Kristine Bria Seran Maria O. Krisdayanti Marianus Kleden Marselinda Kabu Martinus Yongki Efi Masriatus Sholikhah Mau, Sisilia Daeng Baka Maximus M Taek Meolbatak, Emiliana Metan Mikhael A. Roncalli Kloa Mikhael A. Roncalli Kloa Moh. Erkamim Monda, Karolinda Muhammad Bagir Muhammad Irfan Naben, Pricilia Meysi Nahak, Yasintus Siver Nani, Paskalis A. Nardo, Silvester Natalia Christin Hari Natalia Christin Hari Natalia Magdalena Rafu Mamulak Ndasak, Bruno Ortland Ndun, Maria Aprilia Velangkani Nggaur, Emanuel N Nurasiah Nurhasan Nugroho nurnaningsih, Desi Otemusu, Erin Paulander Pande, Juan Felix Tagu Paskalis Andrianus Nani Patrisius Batarius Paulina Aliandu Paulus Adrianus K. L. Ratumakin Pretty Diawati Priscilla M. A Hornay Purbha Irwansyah, Irsyad Putu Sugiati Keraf, Maria Rahaqlaka, W. Bota Rambing, Danni Hastanto Ratumakin, Paulus A. K. L. Rere Paulina Bibiana Rhaishudin Jafar Rumandan Ri Sabti Septarini Rini Nuraini Rini Nuraini Rini Nuraini Rini Nuraini, Rini Rita, Fiktor Jawu Rohmat Indra Borman Romanda Annas Amrullah Romansa, Oktavianus Fransiskus Rosyid Ridlo Al-Hakim Sae, Maria Anjelina Sampurna Dadi Riskiono Sandro Mario Agun Sandro Mario Agun Scholastika Aloysia Lelan Selfiana Goetha Selvi Marcellia Selviana Nau Seran, Maria Kristine Bria Setiawansyah Setiawansyah Sisilia Daeng Bakka Mau Sius, Karolus Tatu Siwi Anggraeni, Gita Soares, Teotino Gomes Stanis Man Stephanie P. A. Lawalu Stephanie P.A Lawalu Stephanie Perdana A. Lawalu Suni, Adventus Yoseph Berek Sutal, Fransiska Xavariana Taboy, Adriana Haky Taek, Maximus M. Taena, Juanto B. G. Taslulu, Maria Yunita Teme, Graciana A. R. Tengangatu, Paul Filson M. Tengangatu, Paul Filson Mite Theofilus Woi Theofilus Woi Tifany Anastasia Antonius Tri Astari Uliyatunisa Uliyatunisa Vera Selviana Adoe Viany Cecilia Pah Winda Sulastri Yanuardi Yanuardi Yanuardi Yanuardi Yasinta P. Peten Yasinta Palan Peten Yeremias Lelo Yohana Fransiska Medho Yohanes Kornelius Ethelbert Yolinda Yanti Sonbay Yoseph Mariano Meme Yoseph Mariano Meme Yovinia Carmeneja Hoar Siki Yoyon Efendi