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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) Journal of Information Technology
Alfry Aristo Jansen Sinlae
Universitas Katolik Widya Mandira
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Journal : Building of Informatics, Technology and Science

 1 
Implementasi Metode Linear Discriminant Analysis (LDA) Pada Klasifikasi Tingkat Kematangan Buah Nanas Destriana, Rachmat; Nurnaningsih, Desi; Alamsyah, Dedy; Sinlae, Alfry Aristo Jansen
Building of Informatics, Technology and Science (BITS) Vol 3 No 1 (2021): June 2021
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (588.903 KB) | DOI: 10.47065/bits.v3i1.1007

Abstract

Pineapple is a fruit commodity that is Indonesia's flagship. This is because pineapple is a fruit that has the highest export volume in Indonesia. To obtain pineapples with perfect ripeness, generally manually selected, this becomes inefficient if large numbers of pineapples are selected. So, in this study, an image processing system will be developed that can classify pineapple ripeness based on its image. In this study, the color feature extraction used is feature extraction based on hue and saturation values. Color feature extraction with hue and saturation is used to obtain various information from the colors in the image so as to facilitate the identification process. Furthermore, Linear Discriminator Analysis will obtain optimal projections to be able to enter spaces with smaller dimensions by performing pattern recognition that can be separated so that they can be grouped based on boundary lines obtained from linear equations. Based on the results of the accuracy test, the accuracy rate reaches 83%, it is in the good category
Identifikasi Citra Tanaman Obat Jenis Rimpang dengan Euclidean Distance Berdasarkan Ciri Bentuk dan Tekstur Nurnaningsih, Desi; Alamsyah, Dedy; Herdiansah, Arief; Sinlae, Alfry Aristo Jansen
Building of Informatics, Technology and Science (BITS) Vol 3 No 3 (2021): December 2021
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (427.459 KB) | DOI: 10.47065/bits.v3i3.1019

Abstract

In the midst of the Covid-19 pandemic, increasing the body's immunity is very important. Some experts suggest consuming medicinal plants or herbs to boost immunity. In addition to being used as a cooking spice, this rhizome type plant turns out to have properties and benefits for health, especially to increase immunity. However, many people do not know and it is difficult to distinguish the type of rhizome plant. This type of rhizome plant can be identified based on the characteristics seen from the shape and texture. However, most people judge the type of rhizome has a shape that is difficult to distinguish. This study aims to determine the type of medicinal plant rhizome with Euclidean distance and extraction of shape and texture. Extraction of shape features using metric and eccentricity parameters. This parameter is considered to be able to recognize shape objects and can distinguish them from other objects. Meanwhile, texture feature extraction uses Gray Level Co-occurence Matrix (GLCM) with contrast, correlation, energy, and homogeneity parameters. For the identification process, Euclidean distance is used which serves to represent the level of two images that consider the distance value from Euclidean. From the results of the evaluation using a confusion matrix by calculating precision, recall and accuracy, it gets a precision value of 83%, recal 87% and an accuracy of 85%. These results indicate that the Euclidean distance and extraction of shape and texture features can identify the object image of medicinal plants with rhizome types well
Identifikasi Kualitas Kesegaran Ikan Menggunakan Algoritma K-Nearest Neighbor Berdasarkan Ekstraksi Ciri Warna Hue, Saturation, dan Value (HSV) Jerandu, Charmelia Yunizar; Batarius, Patrisius; Sinlae, Alfry Aristo Jansen
Building of Informatics, Technology and Science (BITS) Vol 4 No 3 (2022): December 2022
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v4i3.2613

Abstract

Fish has a very high nutritional content and is needed by the human body, such as a protein. With the increasing production, and need for consumption of goodand fresh fish, irresponsible sellers take advantage of this situation by selling fish that are not fit for consumption, such as fish that are not fresh (rotten), fish that contain chlorine and formalin which can be detrimental to consumers. The purpose of this study was to determine how accurate the identification of fish freshness quality using the extraction of Hue, Saturation, and Value (HSV) color characteristics. The research method used is K-Nearest Neighbor (KNN) and is classified into several parts, namely, data collection techniques, needs analysis, design, training, and then testing. The image sample data used in this study amounted to 240 images consisting of fresh and non-fresh fish images, which will then be divided into training data and test data. The training data sample amounted to 220 images with a division of 110 fresh fish images and 110 non-fresh fish images, while the test data sample totaled 20 images with a division of 10 fresh fish images and 10 non-fresh fish images. Analysis of color features is carried out on the gills and head or the area around the eyes of the fish using Red, Green, and Blue (RGB) colors, which will be converted into Hue, Saturation, and Value (HSV) color spaces for the extraction and training processes to obtain results. The results showed that the use of HSV color character extraction was successfully applied with an accuracy value in the training of 94.09% and testing of 90%
Sistem Pendukung Keputusan Pemilihan Aplikasi Jasa Angkut Barang Menggunakan PIPRECIA-S dan Composite Performance Index Sinlae, Alfry Aristo Jansen; Jamaludin, Jamaludin; Nugroho, Nurhasan; Badaruddin, Muliati
Building of Informatics, Technology and Science (BITS) Vol 6 No 3 (2024): December 2024
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v6i3.5698

Abstract

Freight service applications play a crucial role in supporting logistics efficiency and goods mobility. However, with the multitude of available applications, users often face difficulties in determining which application best suits their needs. The manual process of selecting these applications requires users to search and compare information from various sources, which demands considerable time and effort and is prone to subjectivity. This study aims to develop a Decision Support System (DSS) that is quick and accurate in determining the best freight service application using the Simplified Pivot Pairwise Relative Criteria Importance Assessment (PIPRECIA-S) method and the Composite Performance Index (CPI). The PIPRECIA-S method is used to objectively and systematically determine the criteria weights, while the CPI method is employed to identify the best alternative by integrating various performance aspects into a single, easily understood composite measure. In the conducted case study, the best alternative identified was Lalamove (A2), with a composite index score of 122.55, followed by Deliveree (A3) with a score of 114.39, Lion Parcel (A1) with a score of 109.24, GoBox (A4) with a score of 102.04, and The Lorry (A5) with a score of 99.04. The DSS calculations were consistent with the manual calculations, demonstrating its validity and reliability. Usability testing showed an average score of 90%, indicating that the developed DSS possesses the necessary functionality with an intuitive and user-friendly interface.
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 Arisantoso Arisantoso Ayu Lawalu, Stephanie Perdana Azhari, Lukman Badaruddin, Muliati 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 Boelan, Erly G. 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 Emanuel Jando Emerensiana Ngaga Engelbertus G. Ch. Watu Enike Tje Yustin Dima Erly Grizca Boelan 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 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 Karolus Tatu Sius Koa, Dionisius Raffi Kristianus Simon Hale Molan Lake, Floribertha 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 Marianus Kleden Marselinda Kabu Martinus Yongki Efi Masriatus Sholikhah 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 Nurhasan Nugroho nurnaningsih, Desi Otemusu, Erin Paulander Pande, Juan Felix Tagu Paskalis Andrianus Nani Patrisius Batarius Paulina Aliandu Paulus Adrianus K. L. Ratumakin Priscilla M. A Hornay Purbha Irwansyah, Irsyad Putu Sugiati Keraf, Maria Rahaqlaka, W. Bota 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 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. Theofilus Woi Theofilus Woi Tifany Anastasia Antonius Tri Astari Uliyatunisa Uliyatunisa 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