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All Journal Speed - Indonesian Journal on Computer Science Jurnal Informatika dan Teknik Elektro Terapan JURNAL MEDIA INFORMATIKA BUDIDARMA Jurnal Teknik Informatika UNIKA Santo Thomas JURNAL PENDIDIKAN TAMBUSAI Antivirus : Jurnal Ilmiah Teknik Informatika JATI (Jurnal Mahasiswa Teknik Informatika) Jatilima : Jurnal Multimedia Dan Teknologi Informasi Akrab Juara : Jurnal Ilmu-ilmu Sosial Jurnal Restikom : Riset Teknik Informatika dan Komputer Jurnal Perempuan dan Anak Indonesia Mitra Mahajana: Jurnal Pengabdian Masyarakat JURNAL REKAYASA INFORMASI SWADHARMA (JRIS) Indonesian Journal of Networking and Security - IJNS Jurnal Minfo Polgan (JMP) Jurnal Teknik Informatika Unika Santo Thomas (JTIUST) Jurnal Teknik Informatika Journal of Artificial Intelligence and Engineering Applications (JAIEA) Blend Sains Jurnal Teknik SWARNA Jurnal Ilmiah Sistem Informasi dan Ilmu Komputer Malcom: Indonesian Journal of Machine Learning and Computer Science JOINCS (Journal of Informatics, Network, and Computer Science) Abdi Wina : Jurnal Pengabdian Kepada Masyarakat Universitas Kristen Wira Wacana Sumba Jurnal Inovatif Wira Wacana AMMA : Jurnal Pengabdian Masyarakat Intellektika: Jurnal Ilmiah Mahasiswa Jurnal Pengabdian Masyarakat SWARNA: Jurnal Pengabdian Kepada Masyarakat Riau Jurnal Teknik Informatika JuTISI (Jurnal Teknik Informatika dan Sistem Informasi)

Fajar Hariadi

Universitas Kristen Wira Wacana Sumba

Author-ID : 275720

Religion Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Public Health Social Sciences Veterinary Other

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Analisis Sentimen Pengguna X Terkait Danantara Menggunakan Metode Support Vector Machine Njurumana, Adie Fito; Hariadi, Fajar; Uly, Novem Berlian
Riau Jurnal Teknik Informatika Vol. 4 No. 2 (2025): Juli 2025
Publisher : Prodi Teknik Informatika Universitas Pasir Pengaraian

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30606/rjti.v4i2.3439

Daya Anagata Nusantara (DANANTARA) adalah badan investasi milik pemerintah Indonesia yang diresmikan oleh Presiden Prabowo Subianto pada 24 Februari 2025. Dengan total aset mencapai USD900 miliar atau Rp14.000 triliun, DANANTARA bertujuan mengoptimalkan investasi, operasional BUMN, dan pengelolaan sumber dana lainnya. Kehadirannya menuai berbagai reaksi publik, terutama dari pengguna media sosial X, sebagian menilai lembaga ini belum matang dan berisiko gagal. Penelitian ini menganalisis sentimen publik terhadap DANANTARA melalui 1000 tweet periode Februari–Maret 2025. Data diberi label menggunakan metode leksikon menjadi Positif, Negatif, dan Netral, lalu dibagi menjadi 700 data latih dan 300 data uji. Hasil klasifikasi menggunakan Support Vector Machine menunjukkan akurasi 68,7%. Kelas Negatif paling akurat (recall 0.944, f1-score 0.740), Netral terendah (recall 0.152, f1-score 0.237), dan Positif di tengah (recall 0.309, f1-score 0.436). Rata-rata makro precision, recall, dan f1-score berturut-turut adalah 0.630, 0.468, dan 0.471. Berdasarkan polarisasinya, Sentimen Negatif mendominasi 55,6%, disusul Positif 29,1% dan Netral 15,3%, menunjukkan respons publik cenderung negatif terhadap DANANTARA.

Game Edukasi Pengenalan Budaya Sumba Timur Menggunakan Algoritma Fisher Yates Shuffle Mira, Tri Sari Dewi Novyanti Bertha; Hariadi, Fajar; Hunggurami, Jitro; Djara, Ferdinand Yonatan
Jurnal Teknik Informatika UNIKA Santo Thomas Vol 9 No. 1 : Tahun 2024
Publisher : LPPM UNIKA Santo Thomas

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Salah satu bentuk kearifan lokal di Kabupaten Sumba Timur adalah benda-benda yang digunakan dalam budaya, adat istiadat maupun digunakan dalam kehidupan sehari-hari. Namun hal ini makin terkikis dengan kurangnya penyampaian informasi terkait budaya Sumba Timur dalam bentuk media yang modern. Salah satu upaya yang dapat dilakukan adalah dengan membuat media pembelajaran dalam bentuk game edukasi sehingga generasi muda sekarang mendapatkan alternatif sumber pengetahuan terkait budaya Sumba Timur. Game edukasi budaya Sumba Timur ini dibentuk menggunakan metode Software Development Life Cycle (SDLC), diuji fungsionalitasnya menggunakan black box dan telah berjalan dengan baik. Serta diujikan kepada 20 orang anak usia 8 – 10 tahun menggunakan pre-test dan post-test dan mendapatkan hasil N-Gain sebesar 0.42 yang berarti game edukasi ini mampu meningkatkan pengetahuan anak terkait budaya Sumba Timur dengan kategori peningkatan sedang.

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Deteksi Pose Semaphore Berbasis Deep Learning Menggunakan Metode Multi-Layer Perceptron dan MediaPipe Milton Dapamudang; Fajar Hariadi; Raynesta Mikaela Indri Malo
Jurnal ilmiah Sistem Informasi dan Ilmu Komputer Vol. 5 No. 2 (2025): Juli : Jurnal ilmiah Sistem Informasi dan Ilmu Komputer
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/juisik.v5i2.1386

Semaphore is a communication method used to send and receive messages by utilizing flags, paddles, sticks, bare hands, or gloves. Semaphore signaling is commonly used in scouting activities (Pramuka). However, novice scouts often face difficulties in accurately recognizing semaphore gestures. Although guidebooks are available, errors may still occur, especially when learning independently. To address this issue, a gesture detection system using the Multi-Layer Perceptron (MLP) method and MediaPipe framework is proposed, which aims to evaluate the accuracy of MLP and MediaPipe in detecting semaphore poses. To assess the performance of the MLP model, a Confusion Matrix is used to analyze the number of correct and incorrect predictions and generate metrics such as accuracy, precision, recall, and F1-score. The evaluation results show that the system successfully recognized 122 poses correctly, achieving an accuracy of 93.84%, precision of 93.84%, recall of 100%, and an F1-score of 96.80%. Based on these results, the system is considered sufficiently accurate and can be used as an interactive learning tool to recognize semaphore codes, particularly in scouting activities.

PROGRAM WIRAUSAHA (KRIPIK) DENGAN MEMANFAATKAN POTENSI LOKAL DI DESA KOMBAPARI KABUPATEN SUMBA TIMUR Hariadi, Fajar; Enda, Riwa Rambu Hada; Jowa, Ngailu; Kudu, Yonski Umbu; Ndima, Indra Huki R.; Ndamung, Enjelita Pati; Chintika, Resni Ina; Kapu, Senli Rosiana; Lunga, Magdalena Tenga; Lero, Paschalis Risto Padi; Tamar, Debora Dembi; Pati, Ardon Umbu K.; Aprilia Kahi
BESIRU : Jurnal Pengabdian Masyarakat Vol. 2 No. 7 (2025): BESIRU : Jurnal Pengabdian Masyarakat, Juli 2025
Publisher : Lembaga Pendidikan dan Penelitian Manggala Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62335/besiru.v2i7.1586

Real Work Lectures (KKN) are a form of university students' service to the community through the provision of empowerment assistance, training, counseling, guidance, mentoring and to realize their potential, as well as helping to improve the quality of life and development. Observation was carried out by the following methods: (I) Visiting (2) Questions and answers, (3) Documentation, and (4) Looking at the field directly. The physical group programs are the Village Office Arrangement Program and Introduction, Devotional Work, Mutual Cooperation in the village office and in elementary schools, Procurement of garbage cans and the Making and Installation of RT/RW Planks, Chairmen of BPD, Posyandu, Hamlets (I and 2), Churches and PAUD and Basic Family Data Collection for the creation of village and entrepreneurial profiles. Meanwhile, the non-physical group program is Counseling for Making Chips Business Proposals and training on making chips. The potential of the community and the environmental conditions are very supportive for the holding of a flagship program which is hoped that this activity can continue with the support of the entire community. Judging from the program, students play the role of facilitators, dynamizers and motivators. Overall, all work programs were carried out according to plan. The success is seen from the number of participation and support of the Kombapari Village community in all activities. All activities can run well, it is evident from the public opinion in general. Thus, the residents of Kombapari Village can continue to develop their existing potential.

Deteksi Penyakit Sura pada Kuda Menggunakan CNN Berbasis Citra Mikroskopik Hildegard Rambu Konda Ndima; Fajar Hariadi; Raynesta Mikaela Indri Malo
JEKIN - Jurnal Teknik Informatika Vol. 5 No. 2 (2025)
Publisher : Yayasan Rahmatan Fidunya Wal Akhirah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58794/jekin.v5i2.1610

Penyakit Sura, yang disebabkan oleh parasit Trypanosoma evansi, merupakan penyakit endemik yang menyerang kuda di Kabupaten Sumba Timur. Dampaknya sangat serius terhadap sektor peternakan karena diagnosis masih dilakukan secara manual melalui pemeriksaan mikroskopik oleh tenaga ahli. Penelitian ini bertujuan untuk mengembangkan sistem pendeteksian otomatis berbasis citra mikroskopik darah kuda menggunakan metode Convolutional Neural Network (CNN). Dataset terdiri atas 200 citra darah yang terbagi merata antara kondisi normal dan terinfeksi. Data divalidasi oleh dokter hewan, kemudian melalui proses preprocessing berupa konversi ke grayscale, normalisasi, dan resize ke ukuran 128x128 piksel. Arsitektur CNN terdiri dari dua lapisan konvolusi, pooling, dan fully connected dengan dropout. Hasil pelatihan menunjukkan akurasi pelatihan 100% dan akurasi validasi mencapai 97,5%. Evaluasi menggunakan confusion matrix dan classification report menunjukkan hasil sempurna tanpa kesalahan klasifikasi. Temuan ini menunjukkan potensi CNN sebagai solusi diagnosa cepat dan akurat. Sistem ini dapat dikembangkan lebih lanjut sebagai aplikasi berbasis web atau mobile.

The Effect Of Load Balancing And Failover Of Two Wide Area Networks With Per Connection Classifier Method On Qos Throughput, Packet Loss, Qos Delay, And Qos Jitter: Pengaruh Load Balancing dan Failover Dua Wide Area Network Dengan Metode Per Connection Classifier pada QoS Throughput, Packet Loss, QoS delay, dan QoS jitter Hariadi, Fajar; Alfa Ray Leo Lede, Pingky; Melvy Kalaway, Umbu
JOINCS (Journal of Informatics, Network, and Computer Science) Vol. 4 No. 2 (2021): November
Publisher : Universitas Muhammadiyah Sidoarjo

This study discussed the design and implementation of load balancing of two WANs so that the traffic load and bandwidth provided by both WANs could be used equally. The methods used in this research were observation and identification, network topology design, implementation, and testing. This study found that load balancing could divide the network load to all available gateways so that there was no overload on the network used by visitors. After implementing load balancing, the network throughput parameter increased 1.51% compared to the Indihome 1 network and 7.5% compared to the Indihome 2 network. The packet loss parameter increased by 99% compared to the Indihome 1 network and increased 90% compared to the Indihome 2 network. Network delay decreased by 1.33% compared to the Indihome 1 network, and decreased by 1.5% compared to the Indihome 2 network. The Network jitter parameter decreased by 0.93% compared to the Indihome 1 network and decreased by 1.54% compared to the Indihome 2 network.

The Effect Of Queue Tree On Packet Loss In Bandwitch Management Online Based School Exam: Pengaruh Queue Tree pada paket loss dalam management Bandwitch Ujian Sekolah Berbasis Online Dale, Wellem Wila; Hariadi, Fajar; Mikaela Indri Malo, Raynesta
JOINCS (Journal of Informatics, Network, and Computer Science) Vol. 4 No. 2 (2021): November
Publisher : Universitas Muhammadiyah Sidoarjo

Unequal bandwidth distribution between clients that are used for online tests will cause the quality connection among clients to differ. Especially when some client dominates the bandwidth. The other client will suffer to have a proper connection. Using Queue Tree bandwidth management with the type of Per Connection Queue (PCQ) the distribution of bandwidth can be done evenly among clients. The implementation of PCQ Queue Tree is able to reduce the length of ping time by 90% from 134 ms and 13 ms. Delay is decreased 47% from 17 ms to 9 ms with a very good category. Jitter decreased 41% from 17 ms to 7 ms with a very good category. Throughput increased 53% from 234.582 Kbps to 503.584 Kbps in the medium category. Meanwhile, in the packet loss parameter, there is no difference in conditions before and after the implementation of PCQ Queue Tree because there is no packet loss during the test, which means packet loss condition is in the very good category.

User And Bandwidth Management Using Mikrotik Hotspot At State Vocational School 5 Waingapu: Manajemen Pengguna dan Bandwidth Menggunakan Hotspot Mikrotik Pada Sekolah Menengah Kejuruan Negeri 5 Waingapu Hariadi, Fajar; Anamatalu, Deonisius
JOINCS (Journal of Informatics, Network, and Computer Science) Vol. 6 No. 2 (2023): November
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/joincs.v6i2.1605

The use of the internet in schools is very helpful for teachers, staff and students, the internet is an important need for most adult people, they even regard the internet as a basic daily need that must be met, such as at SMK Negeri 5 Waingapu. The use of the internet in schools is very helpful for teachers, staff and students. State Vocational High School 5 Waingapu uses an internet service provider (ISP) sourced from KOMINFO Bakti as internet access with a total bandwidth of 2 Mbps with an average user of 15 clients. The distance to access the internet network on WIFi is 20 meters, but there is still no good management of network usage so that when accessing the internet, many users (clients) often experience interference. One form of utilizing wireless technology is a hotspot. The development method used in this research is to develop a hotspot network at SMK Negeri 5 Waingapu using the Network Development Life Cycle (NDLC) model which is used as the overall development method in developing or designing computer network systems. By implementing bandwidth management using a hotspot router proxy at SMK Negeri 5 Waingapu and testing it using a speedtest before implementation, namely a download speed of 4.55 and an upload speed of 1.09. And after the implementation of bandwidth management for teacher user hotspots, namely for download bandwidth of 0.95 Mbps and upload bandwidth of 0.21 Mbps, then for hotspot user principals download bandwidth is 0.94 Mbps and upload bandwidth is 0.94 Mbps and hotspot user download bandwidth for students is 0.73 Mbps and upload of 0.94 Mbps.

Expert System for Diagnosing Diseases in Tomato Plants Using a Website-Based Forward Chaining Method : Sistem Pakar Mendiagnosa Penyakit pada Tanaman Tomat menggunakan Metode Forward Chaining Berbasis Website Roni, Katrina Rambu Bangi; Hariadi, Fajar
JOINCS (Journal of Informatics, Network, and Computer Science) Vol. 5 No. 2 (2022): November
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/joincs.v5i2.1609

Tomato plant is one of the plants in agriculture that is widely cultivated in Indonesia, one of which is in East Sumba Regency. The problem that is often faced is the lack of knowledge and facilities for tomato farmers which are still limited in dealing with diseases in these tomatoes. To diagnose tomato plant diseases that attack through the symptoms they cause, a tomato plant expert is needed to analyze and diagnose. Currently farmers often ignore tomato diseases due to lack of knowledge. They assume it's finally happening in the planting phase, tomato pest and disease experts are reduced, they don't know how to control and eliminate decreased productivity. In this case, to help farmers know the type of disease that attacks, an expert system is needed to help diagnose tomato plant diseases and provide the right solution in handling the disease using the Forward Chaining method. In the Forward Chaining method, the data search process starts from the premise to the final conclusion. Based on the test results, it can be seen that the probability value for the accuracy of the expert system produced is capable of having a percentage of 100%, from the calculation of the 8 types of the same disease, for inaccuracy so that this expert system can be stated to have been running well.

Co-Authors Alberto Koro, Januard Alex Dangi Maneka Alfa Ray Leo Lede, Pingky Alfrian Carmen T Alfrian Carmen Talakua Anamatalu, Deonisius Angalica Lidia Rambu Nipa Aprilia Kahi Aprilian Ina Arini Aha Pekuwali Arysanti Ndapa Huda, Desy Atahau, Fonensia Djati Bale Lay, Dearly Dady Ropa Chintika, Resni Ina Dale, Wellem Wila Dearly Dady Ropa Bale Lay Demaris Lemba Oy Desy Asnath Sitaniapessy Dewi N. B. Mira, Trisari Dhea Ananda Putri Bangu Dingse Pandiangan Djara, Ferdinand Yonatan Elsania Pandahuki Elvis Umbu Katongu Retang Enda, Riwa Rambu Hada Fajar Indra Prasetyo Ferderika Nathan Tawa Ferdian Fendi Djami Gala, Esmiana Gehur, Amir Gutu Hawu Yogia Pradana Uly Hawu Yogia Pradana Uly Henggu, Krisman Umbu Hildegard Rambu Konda Ndima Hinggu Maramba Nau, Mahir Hunggurami, Jitro Indri Malo, Raynesta Mikaela Itha Priyasthiti Jehiel Yanson Beli Jorden Umbu Tutu Jowa, Ngailu Jumalia, Jumalia Kalaway, Rambu Yetti Kapu, Senli Rosiana Karolina A. Rewa Katanga Mutu, Adipapa Kudu, Yonski Umbu Lede, Pingky Alfa Leonard Marten Doni Ratu Lero, Paschalis Risto Padi Lobo, Murry Albert Agustin Lunga, Magdalena Tenga Malo Damanuna, Alvindo Marcelia Kudu Djama Mbana, Marlyn Rambu Day Mbaru, Arto Rehi Melvianus Behar Melvy Kalaway, Umbu Mete, Merling Agreni Inna Meychristian V. Ama Lay Mikaela Indri Malo, Raynesta Milton Dapamudang Mira May Nggiri Mira, Trisari Dewi Novyanti B Nai Besie, Anamaria Rosalia Ndamung, Enjelita Pati Ndima, Indra Huki R. Nikolas Nara Huri Njurumana, Adie Fito Oy, Maria Kapading Papy Rivandi Bara Pati, Ardon Umbu K. Pingky Alfa Ray Leo Lede Rada, Yustina Radjah, Erwianta Gustial Rambu Yetti Kalaway Raynesta M. I. Malo Raynesta Miakela Indri Malo Raynesta Mikaela Indri Malo Raynesta Mikaela Indri Malo Raynesta Mikaela Indri Malo, Raynesta Mikaela Indri Reynaldi Thimotius Abineno Riwa Rambu Hada Endah Roni, Katrina Rambu Bangi Sindi Asmiati Mudang Sitaniapessy, Dessy Asnath Sri Mulyani Sukadi . Talakua, Alfrian Carmen Tamar, Debora Dembi Theresia Satri Ina Toni Yiwa Ndapa Otu Tri Sari Dewi Novyanti Bertha Mira Trisari D. N. B. Mira Trisari Dewi Noviyanti Bertha Mira Udayani Para Uly, Novem Berlian Umbu Rona Makaborang Umbu Theofilus Dendimara Vince Markus Wawu, Ardi Kalendi Wuhi, Andri Umbu Yan Behar Rada Awang Yandrianus Christianto Dara Yenise Kaita Lepir Yosua Nggaba Patimay Yudianto Ngaba Hamba Banju Yunita Tamu Ina Yustina Rada

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