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All Journal BAREKENG: Jurnal Ilmu Matematika dan Terapan ILKOM Jurnal Ilmiah Jurnal Pengabdian Masyarakat Khatulistiwa Journal of System and Computer Engineering INFINITY : UKI TORAJA JOURNAL OF INFORMATION TECHNOLOGY Jurnal Pengabdian Masyarakat Bangsa TONGKONAN: Jurnal Pengabdian Masyarakat

Damayanti, Irene Devi

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Author-ID : 7265615

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Pelatihan Desain Grafis Sebagai Usaha Peningkatan Kompetensi Dan Jiwa Wirausaha Bagi Pemuda Gereja Toraja Michael, Aryo; Rusman, Juprianus; Damayanti, Irene Devi
TONGKONAN: JURNAL PENGABDIAN MASYARAKAT Vol 1 No 2 (2022): Vol 1 No 2 (2022): Tongkonan: Jurnal Pengabdian Masyarakat
Publisher : FKIP UKI TORAJA

Pemuda Gereja sebagai generasi penerus gereja perlu membekali diri dengan berbagai kompetensi sehingga dapat membantu gereja dalam mengemban misi pelayanan. Salah satu upaya yang dapat dilakukan adalah dengan memberikan pelatihan untuk meningkatkan kualitas dan Sumber Daya Manusia (SDM) sehingga diharapkan dapat memberdayakan dan meningkatkan taraf hidup masyarakat. Salah satu bidang keterampilan yang banyak diminati oleh generasi muda saat ini adalah desain grafis, yang dapat memberikan kesempatan bagi para kreatif muda untuk mengembangkan keterampilan mereka dan membangun karir di industri kreatif. Diharapkan bahwa peserta pelatihan desain grafis akan memiliki keterampilan yang memadai untuk mendukung mereka dalam memulai usaha dan bekerja di berbagai sektor industri, pemerintahan, dan organisasi. Hasil PkM menunjukan peningkatan kemampuan para peserta setelah mengikuti pelatihan dimana peserta telah dapat membuat produk-produk desain grafis. Kesimpulan dari kegiatan ini adalah program pelatihan sangat bermanfaat bagi peserta dan semoga kegiatan ini dapat terlaksana di masa yang akan datang

WORKSHOP PENGELOLAAN WEBSITE DAN MEDIA SOSIAL DALAM BINGKAI MODERASI BERAGAMA DI FAKULTAS KEGURUAN DAN ILMU PENDIDIKAN KRISTEN IAKN Palelleng, Srivan; Pongdatu, Gideon A.N.; Rusman, Juprianus; Patandung, Suryaningsih; Pasinggi, Eko Suripto; Garonga, Melki; Upa, Samrius; Damayanti, Irene Devi; Padang, Semuel Yacobus
TONGKONAN: JURNAL PENGABDIAN MASYARAKAT Vol 2 No 2 (2023): Tongkonan: Jurnal Pengabdian Masyarakat
Publisher : FKIP UKI TORAJA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47178/tongkonan.v2i2.2305

The use of websites and social media has become an integral part of our digital era, facilitating communication, information sharing, and connecting people globally across diverse cultural and religious backgrounds. This workshop aims to provide participants with a strong understanding of the importance of managing websites and social media relevant to their goals, teaching best practices in content creation, management, and optimization, and helping participants understand associated risks and ways to address issues. The workshop also provides insights into the latest trends in digital marketing, analytics, and performance measurement for sustainable growth. IAKN Toraja, an institute managing various faculties, including the Faculty of Christian Education and Pedagogy, faces challenges in the underutilization of its website due to a lack of staff knowledge. Based on the identified issues with partners and post-training evaluations, it can be concluded that the WordPress platform can be effectively used by faculty and staff at IAKN Toraja to design their respective program study websites. This enables them to utilize websites as digital promotional tools at IAKN Toraja. During the evaluation session, participants proposed the implementation of advanced training. This advanced training aims to provide a deeper understanding and necessary skills for them to optimally manage websites in the promotion of their study programs. Thus, the development of these advanced skills is expected to enhance the efficiency and effectiveness of using websites as promotional tools at IAKN Toraja. Keywords: FKIPK, IAKN, promotion, Website, WordPress

Prediksi Jumlah Kunjungan Wisatawan Di Toraja Utara Menggunakan Metode Long Short Term Memory Saladan, Fidryani; Michael, Aryo; Damayanti, Irene Devi; Marchelin
INFINITY : UKI Toraja Journal of Information Technology Vol 3 No 1 (2023): INFINITY : UKI Toraja Journal of Information Tecnology
Publisher : Publikasi dan UKI Press UKI Toraja

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47178/infinity.v3i1.2189

Wisatawan mampu memberikan dampak positif dalam peningkatan kesejahteraan dan perekonomian masyarakat pada suatu daerah tertentu. Terlebih di Toraja Utara merupakan salah satu destinasi daerah yang terkenal akan tradisi adat budaya dan keindahan alam yang masih alami menjadi daya tarik tersendiri bagi wisatawan yang berkunjung ke Toraja Utara. Di dalam dunia pariwisata, memprediksi jumlah kunjungan wisatawan merupakan hal yang perlu dilakukan untuk mengetahui nilai prediksi kunjungn wisatawan dimasa mendatang. Metode Long Short Term Memory (LSTM) adalah salah satu metode untuk memprediksi data jumlah kunjungan wisatawan di Toraja Utara. Penelitian ini menggunakan data jumlah kunjungan wisatawan dari bulan Januari 2015 sampai bulan Desember 2021. Tujuan dari penelitian ini adalah untuk menentukan model terbaik dan kinerja model dengan parameter Jumlah Layer (32, 64, 128), Sliding Window dengan size window (3, 6, 9), Dropout (0.01, 0.1, 0.2 dan 0.5) dengan Max Epoch 100. Dari hasil training didapatkan model terbaik dengan MSE terendah pada jumlah layer 32 dropout 0.01 epoch 100 menghasilkan Mean Square Error (MSE) sebesar 0.070323934. Model terbaik yang didapatkan pada proses training digunakan untuk pengujian data testing pada jumlah layer 32, dropout 0.01 dan epoch 100 menunjukkan Mean Square Error (MSE) sebesar 110198720. Sehingga dapat dikatakan bahwa hasil training dan pengujian model tersebut memiliki kemampuan prediksi yang baik.

Pendampingan UMKM Barrent Foods, Desa Wisata Randanan untuk Peningkatan Kapasitas Produksi dan Pemasaran Abon Ikan Mas Pasinggi, Eko Suripto; Damayanti, Irene Devi; Kannapadang, Sepsriyanti; Marchelin, Marchelin
Jurnal Pengabdian Masyarakat Bangsa Vol. 1 No. 10 (2023): Desember
Publisher : Amirul Bangun Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59837/jpmba.v1i10.557

Program pengabdian masyarakat ini bertujuan untuk memberdayakan UKM Barrent Foods di Desa Randanan, Sulawesi Selatan, dengan fokus pada peningkatan kapasitas produksi dan pemasaran abon ikan mas. Desa Randanan memiliki potensi sumber daya perikanan yang besar, khususnya budidaya ikan mas. UKM Barrent Foods, yang telah beroperasi selama dua tahun, menghadapi tantangan seperti kapasitas produksi yang terbatas, pemasaran yang terbatas, dan manajemen keuangan yang kurang optimal. Metode pelaksanaan kegiatan meliputi identifikasi alat produksi yang diperlukan, riset pasar, pembelian dan pemasangan alat produksi yang telah disetujui, serta evaluasi peningkatan kapasitas produksi yang dicapai melalui uji coba produksi dengan alat baru. Program ini juga mencakup merancang program pelatihan pemasaran, berkolaborasi dengan mitra bisnis, mengundang instruktur untuk pelatihan langsung, memberikan kesempatan praktik bagi UKM, dan mengevaluasi penerapan teknik pemasaran. Program ini melibatkan kolaborasi antara dosen, mahasiswa, dan masyarakat Desa Randanan, dengan fokus pada peningkatan kapasitas kelompok pembudidaya ikan mas dan kelompok pengolah abon ikan mas. Evaluasi program dilakukan dengan mengukur peningkatan kapasitas produksi, perluasan pasar, dan peningkatan manajemen keuangan. Hasilnya menunjukkan adanya peningkatan yang signifikan pada kapasitas produksi, perluasan pasar lokal, dan peningkatan manajemen keuangan. Program ini memberikan kontribusi positif terhadap pemberdayaan ekonomi masyarakat Desa Randanan dan memperkuat peran perguruan tinggi dalam memberikan kontribusi nyata kepada masyarakat. Dengan dukungan dana Hibah Pengabdian kepada Masyarakat dari Kementerian Pendidikan, Kebudayaan, Riset, dan Teknologi (Kemdikbudristek Dikti), program ini menjadi contoh nyata bagaimana kolaborasi aktif antara perguruan tinggi dengan masyarakat dapat menciptakan dampak positif dalam pengembangan UKM lokal.

INOVASI PENGEMBANGAN KAWASAN WISATA BERKELANJUTAN DI OBJEK WISATA ALAM SAWAH LUKIS LEMBANG RANDANAN, KECAMATAN MENGKENDEK, KABUPATEN TANA TORAJA Damayanti, Irene Devi; Mantong, Agustinus; Kudu, Jian
Jurnal Pengabdian Masyarakat Khatulistiwa Vol 7, No 2 (2024): NOVEMBER
Publisher : STKIP Persada Khatulistiwa Sintang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31932/jpmk.v7i2.4124

ABSTRACTThe tourism sector is an important component in economic development which is developed as a source of income for a region. Comparative studies from several tourist areas show that cleanliness, adequate infrastructure, availability of appropriate facilities, and collaboration between the government, private sector and community are the keys to success. The existence of Lembang Randanan as a tourist village offers various tourist objects that can be visited, one of which is Sawah Lukis. One of the tourist attractions in Lembang Randanan is the Painted Rice Fields. The fertile rice fields provide beautiful landscapes and a deep impression. The author, as a KKN-T student class XLIII UKI Toraja with the theme Tourism Area Development Innovation, together with Lembang officials and the community, innovated to develop and promote this tourist attraction which has not been managed well. This service is carried out using a qualitative descriptive method to describe facts and phenomena related to the basic principles of innovating the development of tourist areas. The results achieved from this service include increased cleanliness and tidiness as well as the availability of facilities and infrastructure that support the development of the Sawah Lukis tourist attraction, such as trash cans, decorative lights, painting halls and gazebos. Based on the results that have been achieved, the dedication to develop the Sawah Lukis Tourism area has been carried out well. It is hoped that this service will become a reference for the community to continue to manage the tourist area in Lembang Randanan optimally.Keywords: development innovation, natural tourism, management, promotion, painted rice field. ABSTRAKSektor pariwisata menjadi salah satu komponen penting dalam pembangunan ekonomi yang dikembangkan sebagai salah satu sumber pendapatan suatu daerah. Studi banding dari beberapa kawasan wisata menunjukkan bahwa kebersihan, infrastruktur yang memadai, ketersediaan fasilitas yang layak, serta kolaborasi antara pemerintah, sektor swasta, dan masyarakat adalah kunci keberhasilan. Keberadaan Lembang Randanan sebagai salah satu desa wisata menawarkan berbagai objek-objek wisata yang dapat dikunjungi salah satunya adalah Sawah Lukis. Salah satu wisata yang ada di Lembang Randanan adalah Sawah Lukis. Sawah yang subur memberikan lanskap (pemandangan) yang cantik dan kesan yang mendalam. Penulis selaku mahasiswa KKN-T angkatan XLIII UKI Toraja dengan tema Inovasi Pengembangan Kawasan Wisata bersama aparat lembang dan masyarakat melakukan inovasi untuk mengembangkan dan melakukan promosi objek wisata yang belum dikelola dengan baik ini. Pengabdian ini dilakukan dengan metode deskriptif kualitatif untuk menggambarkan fakta dan fenomena yang terkait dengan prinsip dasar melakukan inovasi pengembangan kawasan wisata. Adapun hasil yang dicapai dari pengabdian ini antara lain peningkatan kebersihan dan kerapian serta tersedianya sarana dan prasarana yang mendukung pengembangan Objek Wisata Sawah Lukis seperti tempat sampah, lampu hias, pengecatan aula dan gazebo. Berdasarkan hasil yang telah dicapai, pengabdian untuk mengembangkan kawasan Wisata Sawah Lukis ini sudah telaksana dengan baik. Pengabdian ini diharapkan menjadi acuan masyarakat untuk terus mengelola kawasan wisata di Lembang Randanan dengan maksimal.Kata Kunci: inovasi pengembangan, wisata alam, pengelolaan, promosi, sawah Lukis.

DETERMINATION OF COFFEE FRUIT MATURITY LEVEL USING IMAGE HISTOGRAM AND K-NEAREST NEIGHBOR Damayanti, Irene Devi; Michael, Aryo
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 18 No 2 (2024): BAREKENG: Journal of Mathematics and Its Application
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol18iss2pp0785-0796

Coffee has a very important role in the Indonesian economy, as one of the country's foreign exchange contributors in the plantation sector. Therefore, coffee processing is very important in determining the quality of coffee. The procedure for choosing and evaluating the coffee fruit's physical quality is one of the most crucial steps. The step of determining the maturity level of coffee fruit is carried out using the image histogram and K-Nearest Neighbor (KNN) method. This research uses the KNN algorithm with classification stages that will show the level of accuracy value according to the value of k = 5 used when processing the classification of coffee fruit image data. In order to complete this step, the features of the coffee fruit are identified using its color. The qualities of quality coffee fruit, which is flawlessly red in color. Twenty images total—ten of which are of ripe coffee fruit and ten of which are of raw coffee fruit—were used in this study. The test results were carried out using rapidminer tools using 40% training data and 60% testing data from the total data set. Based on the test results, it gives an accuracy value of 100%, meaning that the data set can be used in the next stage as valid data to be used.

OPTIMALISASI DESAIN DAN PRODUKTIVITAS KEBUN DASAWISMA PERCONTOHAN DI LEMBANG REA TULAKLANGI’ MELALUI PENERAPAN MATEMATIKA TERAPAN Damayanti, Irene Devi; Salu, Benyamin; Merlinda, Merlinda
Jurnal Pengabdian Masyarakat Khatulistiwa Vol 8, No 2 (2025): NOPEMBER
Publisher : STKIP Persada Khatulistiwa Sintang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31932/jpmk.v8i2.5365

ABSTRACTDasawisma activities in rural areas are a form of community empowerment that plays an important role in improving food security. In Lembang Rea Tulaklangi’, Saluputti District, Tana Toraja Regency, particularly in Dasawisma Lolin, there is potential vacant land that can be used as a model vegetable garden. One of the crops suitable for cultivation in this area is green mustard (Brassica Juncea), which has a short harvest time, stable market demand, and relatively easy maintenance. However, garden management is often carried out without optimal planning, resulting in suboptimal productivity. The author, as the field supervisor of the 45th batch of UKI Toraja's Community Service Program (KKN-T), along with students, village officials, and the community, conducted a service activity themed on food security, which is one form of community empowerment. The application of applied mathematics in garden planning and design has been proven to help improve land use efficiency and mustard plant productivity. Dividing a 6 × 6 m plot into 5 beds, with a planting distance of 25 × 25 cm, results in an optimal plant population. In addition, this arrangement facilitates the maintenance process, from watering and weeding to harvesting. Technically, the plants grow healthier and more uniformly. From a management perspective, the land management process becomes more structured and efficient. This combination can increase the chances of a successful harvest, both in terms of quantity and quality.Keywords: optimization, design, productivity, home gardens, applied mathematics. ABSTRAKKegiatan Dasawisma di wilayah pedesaan merupakan salah satu bentuk pemberdayaan masyarakat yang memiliki peranan yang penting dalam meningkatkan ketahanan pangan. Di Lembang Rea Tulaklangi’, Kecamatan Saluputti, Kabupaten Tana Toraja, khususnya di Dasawisma Lolin terdapat potensi lahan kosong yang dapat dimanfaatkan menjadi kebun sayuran percontohan. Salah satu tanaman yang cocok dibudidayakan di wilayah ini adalah Sawi Hijau (Brassica Juncea), yang memiliki waktu panen singkat, permintaan pasar stabil, dan perawatan relatif mudah. Namun demikian, sering kali pengelolaan kebun dilakukan tanpa perencanaan yang optimal, sehingga produktivitas tidak maksimal. Penulis selaku pembimbing lapangan KKN-T angkatan XLV UKI Toraja bersama mahasiswa, aparat lembang, dan masyarakat melakukan kegiatan pengabdian dengan tema ketahanan pangan, yang merupakan salah satu bentuk pemberdayaan masyarakat. Penerapan Matematika Terapan dalam perencanaan dan desain kebun terbukti membantu meningkatkan efisiensi pemanfaatan lahan serta produktivitas tanaman sawi. Pembagian lahan seluas 6 × 6 m menjadi 5 bedengan, dengan jarak tanam 25 × 25 cm, diperoleh populasi tanaman yang optimal. Selain itu, pengaturan ini mempermudah proses pemeliharaan, mulai dari penyiraman, penyiangan, hingga pemanenan. Dari sisi teknis, tanaman tumbuh lebih sehat dan seragam. Dari sisi manajemen, proses pengelolaan lahan menjadi lebih terstruktur dan efisien. Kombinasi ini dapat meningkatkan peluang keberhasilan panen, baik dari segi kuantitas maupun kualitas.Kata Kunci: optimalisasi, desain, produktivitas, kebun dasawisma, matematika terapan

Klasifikasi Citra Daging Babi dan Daging Kerbau Menggunakan Histogram Citra dan GLCM Damayanti, Irene Devi; Michael, Aryo; Fridolin, Fridolin; Piopadang, Helce K. Y.; P., Setriyanti
Journal of System and Computer Engineering Vol 4 No 2 (2023): JSCE: Juli 2023
Publisher : Universitas Pancasakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61628/jsce.v4i2.878

Due to high consumer demand, some traders use the high price of meat to make a profit by mixing pork and buffalo meat. Some consumers are not aware of this, because in plain view buffalo meat with pork meat is difficult to distinguish, especially for some ordinary people. This action is very detrimental and disturbing the local community, especially Muslims. At present, technological advances in the field of digital image processing are increasing rapidly, especially in food products. In general, this research was conducted in 2 (three) stages. The first stage, namely the stage of image data collection of pork and buffalo meat. The second stage, namely the classification of pork and buffalo meat images using image histogram analysis and the Gray Level Co-occurrence Matrix (GLCM) method based on the color and texture of the meat. In this study using the Red Green Blue (RGB) color image method and GLCM texture extraction, namely contrast, homogeneity, energy, and correlation. The study was conducted using 20 samples of meat images (10 images of pork and 10 images of buffalo meat, respectively). Based on the results of the research that has been done, it was found that the image of buffalo meat has a higher percentage value of the Red (R) color component when compared to the pork image, whereas the percentage value of the Green (G) and Blue (B) color components is lower when compared to the image pork. Then, if the value between pixels is not homogeneous (small homogeneity value), then the contrast value is large, and vice versa if the value between pixels is homogeneous (large homogeneity value) then the contrast value is small. The image of buffalo meat has a small homogeneity value compared to the image of pork, so the variation in intensity (contrast) in the image of buffalo meat is high.

Prediction of Protein Content of Shredded Goldfish Based on Physical Characteristics and Processing Process Using Random Forest Regression Method Damayanti, Irene Devi; Adha, Muhammad Sofwan; Pairunan, Lisna Junita
Journal of System and Computer Engineering Vol 7 No 1 (2026): JSCE: January 2026
Publisher : Universitas Pancasakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61628/jsce.v7i1.2270

Shredded goldfish is a processed fishery product that has high nutritional value, especially in its protein content. This study aims to predict the protein content in shredded goldfish based on the physical characteristics of the ingredients (moisture, ash, fat, and crude fiber content) and processing parameters (temperature and frying time) using the Random Forest method. The data used consisted of 10 samples of proximate analysis results and were divided into training data (67%) and test data (33%). The model was evaluated using MAE, MSE, RMSE, and R-squared metrics. The evaluation results showed that the model produced an MAE of 0.5649, MSE of 0.5409, RMSE of 0.7354, and R² of 0.0898. The low R² value indicates that the model is still not optimal in explaining variations in the target data. The prediction of protein levels for new data with certain characteristics resulted in a value of 20.16%, which is still within the range of actual values. This research shows the potential of using machine learning methods in predicting the nutritional value of food products, although increased accuracy is still needed through additional data and exploration of other models. It is recommended that the frying temperature is 155°C to 160°C and the frying time is 11 minutes to 13 minutes to maintain optimal protein levels.

Optimization of Text Emotion Classification through the Combination of ITC Smoothed and Linear Models Garonga, Melki; Rangga Punne, Mc Rore; Damayanti, Irene Devi
ILKOM Jurnal Ilmiah Vol 18, No 1 (2026)
Publisher : Prodi Teknik Informatika FIK Universitas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33096/ilkom.v18i1.2954.1-16

This research investigates four feature extraction techniques TF-IDF, Smoothed TF-IDF, Inverse Term Counting (ITC), and ITC Smoothed to determine how effectively they enhance text-based emotion classification when working with imbalanced datasets. The study also seeks to pinpoint the most effective pairing between feature extraction methods and classification algorithms. Its key contributions include a methodical side-by-side comparison of these lesser-examined TF-IDF variations and demonstrating empirically that linear models handle class imbalances with considerable resilience. The analysis drew upon an Indonesian Twitter dataset comprising 4,132 tweets, categorized into six unequally distributed emotional states: anger, fear, joy, love, sadness, and neutrality. These four feature extraction approaches were assessed using five distinct classifiers: Naive Bayes, Logistic Regression, SVM, Random Forest, and KNN. Performance was measured through accuracy, precision, recall, and F1-score. Findings indicate that linear classifiers, specifically Logistic Regression and SVM, delivered superior performance, achieving accuracy rates between 93.71% and 94.44%. These models consistently outperformed both probabilistic and distance-based algorithms regardless of the feature extraction method applied. Interestingly, the impact of smoothing proved context-dependent. While applying smoothing to both TF-IDF and ITC boosted the performance of linear models over their unsmoothed counterparts, it paradoxically reduced accuracy for the standard ITC method. This outcome questions the widely held belief that smoothing universally enhances model performance. The combination of Logistic Regression with the unITC Smoothed method yielded the peak accuracy of 94.44%. The study offers actionable guidance, suggesting the pairing of Logistic Regression with ITC as a highly effective strategy for text-based emotion classification. It also contributes theoretically by underscoring the particular aptitude of linear models for managing high-dimensional text data within imbalanced class contexts

Co-Authors Adha, Muhammad Sofwan Agustinus Mantong Benyamin Salu Eko Suripto Pasinggi Fridolin, Fridolin Garonga, Melki Juprianus Rusman Kudu, Jian Marchelin Marchelin, Marchelin Merlinda, Merlinda Michael, Aryo P., Setriyanti Padang, Semuel Yacobus Pairunan, Lisna Junita Patandung, Suryaningsih Piopadang, Helce K. Y. Pongdatu, Gideon A.N. Rangga Punne, Mc Rore Saladan, Fidryani Sepsriyanti Kannapadang Srivan Palelleng Upa, Samrius

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