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All Journal JURNAL SISTEM INFORMASI BISNIS METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi TELEKONTRAN: Jurnal Ilmiah Telekomunikasi, Kendali dan Elektronika Terapan Journal Of Information And Technology Unimor (JITU) Jurnal Nasional Teknik Elektro dan Teknologi Informasi J-Icon : Jurnal Komputer dan Informatika Karunia: Jurnal Hasil Pengabdian Masyarakat Indonesia
Sihotang, Dony Martinus
Universitas Nusa Cendana
Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Health Professions

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IMPLEMENTASI CASE BASED REASONINGUNTUK MENDIAGNOSIS PENYAKIT TUBERKULOSIS MENGGUNAKANALGORITMA K-NEAREST NEIGHBOR Emanuel Tes Atok; Derwin R Sina; Dony M Sihotang
J-Icon : Jurnal Komputer dan Informatika Vol 7 No 2 (2019): Oktober 2019
Publisher : Universitas Nusa Cendana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35508/jicon.v7i2.1656

Abstract

Case-Based Reasoning produces a solution based on similarities to previous cases. New case solutions result from the placement of similarities with old cases. In this reseach the authors applied CBR to diagnose tuberculosis. System knowledge sources are obtained by collecting medical records of tuberculosis patients in 2014-2016. Calculation of similarity values using the K-Nearest Neighbor algorithm with a thereshold value of 80%. This system can diagnose 3 types of tuberculosis based on 25 symptoms. The system output consists of the type of tuberculosis based on the symptoms experienced by the patient, treatment solutions and presentation of similarities between new cases and old cases. Based on the results of testing with 51 cases the results: (a) testing with 3 new case scenarios obtained the accuracy of each system for data scenarios obtained by 31 training data (60% of 51 cases) and 20 test data (40% of 51 cases) accuracy is 63%, the second scenario accuracy obtained with 35 training data (70% of 51 cases) and 16 test data (30% of 51 cases) accuracy is 69.2% and the third scenario accuracy obtained with 41 training data (80% of 51 cases) and 10 test data (20% of 51 cases) accuracy is 90%. (b) The results of testing of the old cases in the case base obtained 100% accuracy of the system.
SISTEM PENDUKUNG KEPUTUSAN UNTUK PROMOSI JABATAN MENGGUNAKAN METODE MOORA Jamaludin Abdullah; Dony M Sihotang; Kornelis Letelay
J-ICON : Jurnal Komputer dan Informatika Vol 4 No 1 (2016): Maret 2016
Publisher : Universitas Nusa Cendana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35508/jicon.v4i1.5195

Abstract

Promote a position at a constitutes is one of important factor toemployee career planning also rejuvenatea position. DAMM PT.Surya Mustika's smoking distributor AMC'S Kupang always have Trouble in determine an employee to promoted the position.Spontaneous Supporting System application (SPK) Position promotion is designed to supportactivity in the officeso as the maker of decision will be take the decree which objective. In the position promotion process, anemployee will be evalutes by 10 criterions has been determined. The employee pontential evaluate will created a decisons the process used MOORA methode. The Result of this system count results ranking's alternative as recommendation for decision maker to be promoted. After done 4 examination time 10, 20, and 30 data test, then flowed by 5 data test to fire an examination employee already been promoted at period 2013 Marches 2015 to measure ranking's accuracies systems to ranking's that done by HRD used 10 that criterion, then obtainable ranking's result the same withthe percentage ofsuitabilityin the amount of 100%.
Penentuan Kualitas Air untuk Perkembangan Ikan Lele Sangkuriang Menggunakan Metode Fuzzy SAW Dony M Sihotang
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 7 No 4: November 2018
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1221.974 KB)

Abstract

The purpose of this paper is to implement Fuzzy Simple Additive Weighting (F-SAW) method in determination of water quality for the development of Sangkuriang catfish, using six criteria, i.e. temperature, pH, DO, brightness, plankton, and odor, using 15 alternatives (pool). There are two test scenarios that have been done in this research to obtain system accuracy level, which are: 1) result of system compared with assessment from an expert; and 2) the results of the system compared with assumption of the study that the alternative with the best data should be ranked first and the alternative with the worst data should be rated last. The results obtained from the first scenario shows the level of accuracy is 87%, while the results obtained from the second scenario shows 100% accuracy rate.
Metode Skoring dan Metode Fuzzy dalam Penentuan Zona Resiko Malaria di Pulau Flores Dony M Sihotang
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 5 No 4: November 2016
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (839.771 KB)

Abstract

The purpose of this study is to compare the results of malaria risk zone mapping using scoring method and fuzzy method against the actual data (API 2014). Variables used in determining malaria risk area are temperature, densiy of vegetation and land cover. Satellite image manipulation is performed using remote sensing technology. As a result, the average of every pixel in the district area for temperature, density of vegetation, and land cover is obtained. The result isthen processed using the scoring model and fuzzy model. Accuracy tests have been conducted for 91 districts where the fuzzy model has an accuracy rate of 61.54% while the scoring model produce an accuracy of 18.68%. The test result shows that the fuzzy model tends to produce a higher grade than the actual grade. Fuzzy model produces class “High” but actually “Low” (17.85%), fuzzy model produces class “Medium” but actually “Low” (2.20%), or fuzzy models produces class “High” but actually “Medium” (14.29%). This could be caused by a form of intervention for mosquito nest eradication conducted in some districts, that is quite effective. Besides, some districts are not participating actively in detecting the number of malaria cases, hence, the actual data provided by Puskesmas tends to be lower.
Kombinasi Cipher Subtitusi (Beaufort Dan Vigenere) Menggunakan Pembangkit Kunci RC4 Pada Kriptogtrafi Video Audio Video Interlaced (AVI) Boru, Meiton; Sultani, Akhzan Akbar; Mauko, Arfan Yehezkial; Mola, Sebastianus Adi Santoso; Letelay, Kornelis; Sihotang, Dony Martinus
Telekontran : Jurnal Ilmiah Telekomunikasi, Kendali dan Elektronika Terapan Vol. 12 No. 2 (2024): TELEKONTRAN vol 12 no 2 Oktober 2024
Publisher : Program Studi Teknik Elektro, Fakultas Teknik dan Ilmu Komputer, Universitas Komputer Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/telekontran.v12i2.14167

Abstract

Cryptography is the science of information security which is the most fundamental basic issue in ensuring the security of data transmission via the web. Cryptography works by transforming data or information into random form. Video data is the most widely accessed information medium because video conveys information in audio and visual form. In this study, cryptography was carried out on AVI video files with a combination of Beaufort and Vigenere substitution cipher algorithms using the RC4 key generator. Testing was carried out on three groups of video sample test data based on the size of the video file, where each group contained 10 video files. The test results obtained an average time required for encryption of 17 minutes 17 seconds, decryption of 17 minutes 40 seconds. The quality is indicated by the algorithm, namely from data integrity with an MSE value of 0 and a PSNR value of infinte, from the resulting cipher having an average value of MSE ± 15883 and PSNR ± 0.612 dB on audio, and an average value of MSE ± 14173 and PSNR ± 0.674 dB on frames. Resolution and video file size as well as initial key length do not significantly affect MSE and PSNR values. Statistically, the frequency range of color appearance in the histogram of cipher frames becomes narrower and relatively uniform. Waves in the audio cipher against time units move irregularly with changing sound level amplitudes and are relatively uniform in each audio sample. The resistance of the cipher to attacks is proven by the audio in three groups giving an average MSE of ± 16074 and PSNR of ± 0.607 dB, while for frames in three groups giving an average MSE of ± 15941 and PSNR of ± 0.623 dB.
Pemanfaatan dan Pengelolaan Sistem Informasi Web Profil pada SDK Santo Yosep 1 Kota Kupang Kornelis Letelay; Yulianto Triwahyuadi Polly; Arfan Y Mauko; Tiwuk Widiastuti; Dony Martinus Sihotang
Karunia: Jurnal Hasil Pengabdian Masyarakat Indonesia Vol. 3 No. 4 (2024): Desember : Jurnal Hasil Pengabdian Masyarakat Indonesia
Publisher : Fakultas Teknik Universitas Maritim AMNI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58192/karunia.v3i4.2613

Abstract

The Community Service (PkM) activity titled “Utilization and Management of Web Profile Information System at SDK Santo Yosep 1 Kota Kupang” involved the partnership with SDK Santo Yosep 1 Kota Kupang. The purpose of this community partnership program was to enhance information technology skills and knowledge for educators and educational staff at SDK Santo Yosep 1 located in Kota Raja sub-district. The methods used in this activity included training on managing the system that had already been developed, specifically on data entry, which would later be published as school information for the general public. Additionally, a questionnaire method was employed to assess the system's effectiveness. The results of the training showed that all 16 participants, including teachers and staff, were able to effectively understand how to operate the system and enter data accurately. Furthermore, the system functioned well (valid) according to the partner’s needs, allowing the school's web profile information system to be published for the public, providing essential information about the school to the broader community.
Analisis Sentimen Masyarakat Terhadap Pelayanan Jasa Ekspedisi JNE dan J&T Express Menggunakan Metode Lexicon-Based Mola, Sebastianus Adi Santoso; Mbatu, Dinda Permata; Sihotang, Dony Martinus
METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Vol. 9 No. 1 (2025): METHOMIKA: Jurnal Manajemen Informatika & Komputersisasi Akuntansi
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/jmika.Vol9No1.pp56-65

Abstract

JNE and J&T Express are two of the largest and most popular courier companies in Indonesia, leading to various public opinions regarding the quality of their services. This research employs a lexicon-based method using the InSet dictionary, a simple scientific approach where the system calculates the weight of words and classifies them as positive, negative, or neutral sentiments. The analysis process begins with data collection of reviews using scraping techniques, followed by text processing including cleaning, case folding, normalization, tokenization, stemming, and stopword removal. Out of 3,565 reviews for JNE and 3,967 reviews for J&T, the sentiment analysis indicates that the majority of the public holds negative opinions towards the services of both courier companies. The analysis accuracy reaches 82% for JNE data, with a precision value of 95% for negative sentiment, 54% for positive sentiment, and 7% for neutral sentiment. The sensitivity values are 83% for negative sentiment, 82% for positive sentiment, and 15% for neutral sentiment. Data for J&T shows an accuracy of 78%, with a precision value of 97% for negative sentiment, 28% for positive sentiment, and 4% for neutral sentiment. Sensitivity values are 80% for negative sentiment, 82% for positive sentiment, and 4% for neutral sentiment.
Sistem Pendukung Keputusan Tenaga Kesehatan Terbaik Menggunakan Metode Analytic Hierarchy Process (AHP) dan Simple Additive Weighting (SAW) (Studi Kasus Puskesmas Oesapa) Lehot, Fransisco Ronaldo; Widiastuti, Tiwuk; Sihotang, Dony M.
Journal of Information and Technology Vol. 4 No. 2 (2024): Journal of Information and Technology Unimor (JITU)
Publisher : Department of Information Technology, Universitas Timor, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32938/jitu.v4i2.7652

Abstract

Puskesmas Oesapa memiliki peran penting dalam menyediakan pelayanan kesehatan berkualitas. Untuk meningkatkan kualitas layanan, terutama dalam memberikan pelayanan individu yang optimal, pemilihan tenaga kesehatan terbaik sangat penting. Penelitian ini mengembangkan Sistem Pendukung Keputusan (SPK) dengan metode Analytical Hierarchy Process (AHP) dan Simple Additive Weighting (SAW) untuk mengatasi masalah pemilihan tenaga kesehatan yang sebelumnya dilakukan secara manual. Metode AHP digunakan untuk menentukan bobot delapan kriteria penilaian, dan metode SAW untuk merangking tenaga kesehatan berdasarkan bobot tersebut. Implementasi sistem ini membantu kepala Puskesmas dalam mengambil keputusan yang lebih akurat dan objektif. Hasilnya, sistem mampu mengidentifikasi tenaga kesehatan terbaik, dengan Roselkrans sebagai penerima nilai tertinggi 0,913. Pengujian User Acceptance Test (UAT) menunjukkan tingkat kepuasan pengguna yang tinggi, dengan nilai fungsionalitas 94,33%, kegunaan 92,5%, keandalan 92%, dan efisiensi 92,5%, serta hasil pengujian blackbox mencapai 100%. Sistem ini diharapkan dapat meningkatkan objektivitas dan keadilan dalam penilaian tenaga kesehatan di Puskesmas Oesapa.
Co-Authors Abdul G Farid Adnan Putra Rihi Pati Adriana Fanggidae Adriana Fanggidae Arfan Y Mauko Arfan Y Mauko Benyamin Libing Bertha S Djahi Bertha S. Djahi Boru, Meiton Derwin R Sina Emanuel Tes Atok Farmi S Radjatadoe Inggrid Raga Djara Jamaludin Abdullah Kornelis Letelay Lehot, Fransisco Ronaldo Lorenso Kanuru Mbatu, Dinda Permata Meiton Boru Meiton Boru Meiton Boru Nelci D. Rumlaklak Redian A Sina Reza S Baliara Sebastianus Adi Santoso Mola Sultani, Akhzan Akbar Tarus, Karen N.V Tiwuk Widiastuti Yulianto Triwahyuadi Polly