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All Journal Jurnal Teknologi Informasi dan Ilmu Komputer Jurnal Sains Komputer dan Teknologi Informasi Jurnal Bumigora Information Technology (BITe) Jurnal Saintekom : Sains, Teknologi, Komputer dan Manajemen Jurnal Pengabdian Masyarakat MATRIX : JURNAL MANAJEMEN TEKNOLOGI DAN INFORMATIKA Jurnal Pengabdian Kolaborasi dan Inovasi IPTEKS
Hardita, Veny Cahya
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Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Languange, Linguistic, Communication & Media Public Health Social Sciences Other

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PENERAPAN KOMBINASI METODE VIGENERE CIPHER, CAESAR CIPHER DAN SIMBOL BACA DALAM MENGAMANKAN PESAN Hardita, Veny Cahya; Sholeha, Eka Wahyu
Jurnal Saintekom : Sains, Teknologi, Komputer dan Manajemen Vol 11 No 1 (2021): Maret 2021
Publisher : STMIK Palangkaraya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (509.608 KB) | DOI: 10.33020/saintekom.v11i1.202

Abstract

The concept that an important information cannot be known by parties who don’t have rights can be done by making the confidentiality of data using cryptography. Safety in vigenere ciphers depends on the number of keys used, the more the number of keys, the wider the key space. While caesar cipher or often also called caesar code is a classic coding system based on simple substitution. This study uses a combination of Vigenere Cipher and Caesar Cipher algorithms so that the security of the contents of the message is protected stronger and safer so that if the message sent is tapped by someone who is not responsible then the hijacker has difficulty knowing contents of the message. So that the confidentiality and authenticity of message is up to the recipient In this study successfully implemented both methods and has an output in the form of a reading symbol, not letters.
PENERAPAN METODE APRIORI SEBAGAI SISTEM PENDUKUNG KEPUTUSAN PEMBENTUKAN PAKET PENJUALAN BIBIT BUAH Hammad, Rifqi; Hardita, Veny Cahya; Zulfikri, Muhammad; Sholeha, Eka Wahyu
Jurnal Saintekom : Sains, Teknologi, Komputer dan Manajemen Vol 12 No 1 (2022): Maret 2022
Publisher : STMIK Palangkaraya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33020/saintekom.v12i1.240

Abstract

Taletan Ijo is an online shop that sells fruit seeds. In carrying out its business processes, he utilizes a sales information system. The system is used to manage sales data. If the data is not used, it will lead to accumulation of data but lack of information. Taletan ijo uses the manual method in its product marketing strategy so that the strategy used is not quite right. Stored sales transaction data can be used as a reference in making marketing strategies such as making product sales packages. This study uses data mining methods, namely associations with a priori algorithms to process transaction data into information that can help support decisions in determining marketing strategies. The results of the study show that the lift ratio test results obtained are 3.2 which indicates that the value is valid with a minimum number of transactions of 10 and a confidence value of 80.
Algoritma K-Means dalam Pengelompokan Surat Keluar pada Program Studi Teknik Informatika STMIK Palangkaraya Rusdiana, Lili; Hardita, Veny Cahya
Jurnal Saintekom : Sains, Teknologi, Komputer dan Manajemen Vol 13 No 1 (2023): Maret 2023
Publisher : STMIK Palangkaraya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33020/saintekom.v13i1.356

Abstract

K-Means algorithm as a method of grouping a set of data. The purpose of this study is to find out the use of the K-Means algorithm for outgoing mail data. The method used in this study focuses on the K-Means method. The grouping data used is 284 outgoing mail data at the STMIK Palangkaraya Informatics Engineering Study Program. Outgoing mail data is grouped into two groups, namely staffing and academic administration. Grouping based on letter number, status of recipient of letter, subject of letter. Steps in the K-Means algorithm result two iterations because there is a group movement that occurs, namely there is a movement from one group to another because the value of the object function changes. The iteration can be stopped in 2nd iteration because the object function change value is below the given threshold value, which is 0.1 and there is no group movement in the data used. Two iterations that have occurred, it shows a decrease in the value of changes in object function and data transfer in group locations.
PELATIHAN APLIKASI KOMPUTER (MICROSOFT WORD) BAGI STAF DAN PERANGKAT DESA BAHU PALAWA Rusdiana, Lili; Hadi, Abdul; Herkules; Elmayantie, Catharina; Hardita, Veny Cahya; Putri, Elsa Monica; Seveniardy, I Nyoman Leofrensa
Jurnal Pengabdian Kolaborasi dan Inovasi IPTEKS Vol. 2 No. 2 (2024): April
Publisher : CV. Alina

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59407/jpki2.v2i2.585

Abstract

Penggunaan aplikasi komputer sudah tidak asing lagi terutama seperti pada bidang perkantoran untuk layanan masyarakat. Penggunaan Microsoft Word biasa digunakan baik untuk surat menyurat maupun untuk laporan kegiatan. Pelaksanaan pengabdian dilakukan pada Desa Bahu Palawa sebagai bentuk implementasi dari kerja sama. Peserta dalam kegiatan ini yaitu staf dan perangkat desa. Kegiatan PKM ini mengupas sekaligus mengajarkan kepada peserta PKM tentang penggunaan aplikasi komputer yaitu Microsoft Word untuk mendukung kegiatan bagi staf dan perangkat desa, baik untuk membuat surat menyurat maupun untuk laporan kegiatan. Adapun metode yang digunakan dalam kegiatan ini adalah metode ceramah, demonstrasi dan praktik. Sebagai bahan evaluasi, pelaksana pengabdian menggunakan kuesioner untuk mengetahui respon peserta kegiatan serta untuk mengetahui dampak dan manfaat kegiatan maupun aplikasi yang digunakan bagi peserta pengabdian. Penggunaan kuesioner sebagai bentuk bahan evaluasi bagi pelaksana pengabdian. Hasil evaluasi menunjukkan Pretest sebesar 59% dan Posttest sebesar 68%. Hal ini menunjukkan bahwa terdapat peningkatan pemahaman peserta terhadap kegiatan yang dilakukan.
Topic modeling and sentiment analysis about Mandalika on social media using the latent Dirichlet allocation method Hammad, Rifqi; Hardita, Veny Cahya; Amrullah, Ahmad Zuli
Matrix : Jurnal Manajemen Teknologi dan Informatika Vol. 12 No. 3 (2022): Matrix: Jurnal Manajemen Teknologi dan Informatika
Publisher : Unit Publikasi Ilmiah, P3M, Politeknik Negeri Bali

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31940/matrix.v12i3.109-116

Abstract

The rapid and widespread dissemination of information currently affects the tourism sector. One tourist area that is quite widely discussed is the Mandalika Circuit. Twitter is one platform that provides comments related to the Mandalika Circuit. The amount of information related to the Mandalika Circuit is currently not being utilized properly by managers (government or private). It causes many topics related to the Mandalika Circuit that are currently trending, and public sentiment regarding the Mandalika Circuit is unknown to the government or private sector. Ignorance can result in delays in decision making which can harm the manager. To overcome this problem, research on sentiment analysis and topic modeling related to the Mandalika Circuit was carried out. The sentiment analysis method used is SVM and for modeling using LDA. Based on the results of the sentiment analysis, 1500 tweets were obtained before doing the pre-processing process, thus getting a dataset of 500 tweets divided into 398 positive and 102 negative tweets. So it can be concluded that more Twitter users give positive than negative responses to the Mandalika Circuit. The test results show that the SVM algorithm can classify sentiment toward the Mandalika Circuit well, as indicated by the measurement of the performance of the SVM algorithm, namely 87% accuracy, 77% precision, 84.81% recall, and 98.52% specificity. These results also show that the F1 Score compares the average precision and recall, which is weighted at 80.72%.
Penerapan Simple Additive Weighting pada Pemilihan Canvasser Terbaik PT.Eratel Prima Hardita, Veny Cahya; Utami, Ema; Luthfi, Emha Taufiq
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 6 No 5: Oktober 2019
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (3086.595 KB) | DOI: 10.25126/jtiik.2019651218

Abstract

Bagi PT. Eratel Prima, canvasser merupakan ujung tombak dalam suatu perusahaan yang bergerak pada bidang pendistribusian produk indosat. Perusahaan ini mengandalkan modal dari Indosat sehingga penilaian Key Performance Indicator sangat penting untuk perusahaan ini. Canvasser sangatlah berpengaruh pada penilaian KPI ini. Sebagai ujung tombak perusahaan, tentu sangat penting untuk memelihara konsistensi dari kinerja canvasser. Untuk memberikan semangat pada canvasser, maka perusahaan memberikan apresiasi berupa bonus setiap bulan bagi canvasser yang memiliki kinerja terbaik. Dalam proses penilaian canvasser terbaik dilakukan oleh Head of Marketing. Namun, proses penilaian masih dilakukan secara penilaian masih subjektif dan tidak relevan dengan situasi aktual. Selain itu, proses penilaian masih manual sehingga membutuhkan waktu lama untuk melakukan pengolahan data. Hal inilah yang menjadi latar belakang untuk membuat sebuah sistem guna memilih canvasser terbaik Metode pengambilan keputusan yang digunakan adalah metode Simple Additive Weighting (SAW). Metode ini digunakan untuk menentukan nilai pembobotan setiap kriteria, yang kemudian dilakukan proses peringkat untuk menentukan alternatif terbaik dari sejumlah alternatif. Hasil perhitungan akhir dari sistem dan hasil perhitungan manual menunjukkan hasil yang sama dengan menggunakan 10 canvasser yang dinilai, dan canvasser mendapat nilai tertinggi yaitu Eko dengan nilai 18.6667 yang terpilih untuk menjadi canvasser terbaik.AbstractFor PT. Eratel Prima, Canvasser is a company’s spearhead for indosat product distribution. Indosat as the investor of this company require a good evaluation of Key Performance Indicator (KPI). Canvasser’s role is very influential for KPI score. As a company’s spearhead, it is very important to maintenance the consistency of canvasser performance. To encourage their spirit, the company give a monthly reward in the form of bonuses for a canvasser with the best performance. The assessment process done by the Head of Marketing. But this assessment process done with manual method and for data process require more time.  In addition, the assessment is still subjective and not relevant with actual situation. Based on this problem, it needed a system to select the best canvasser. The used method for decision support system is Simple Additive Weighting (SAW).  This method used to determine the weighting value of each criterion, and then carried out a ranking process to determine the best alternative from a number of alternatives. The result of this research are the ranking and further recommendation for the best canvasser.
Location Based Service Technology in Mapping Tourism Potential with a Combination of AHP and Profile Matching Methods Hardita, Veny Cahya; Jayanti, Sherly; Normalia, Normalia
Jurnal Bumigora Information Technology (BITe) Vol. 5 No. 2 (2023)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/bite.v5i2.3329

Abstract

Background: Palangkaraya is a city that has a variety of natural beauty and culture. However, the tourism potential in this area is still not fully optimized and managed properly. One of the causes of this is the lack of ownership by the Government regarding the mapping of areas that have the potential to become tourist areas in Palangkaraya City. Therefore a system is needed that can assist the Government in mapping areas that have the potential to become tourist areas Objective: Develop a system that can be used to map areas that have the potential to become tourist areas. The information generated from the developed system is expected to assist the government and the private sector in increasing tourism in Palangkaraya City. Methods: The method used is the application of Location Based Service technology with a combination of Analytical Hierarchy Process and Profile Matching methods. Result: The system developed uses 10 criteria with 37 alternatives to produce information related to the sequence of tourism potential levels where the results of the sequence are then displayed on a map to provide an overview of the mapping of tourism potential areas. Conclusion: The system that has been created has succeeded in mapping areas that have tourism potential by applying LBS technology and a combination of AHP and Profile Matching methods. From this system it was found that blood with the alternative code A1 had the highest value, namely 4.295193, followed by A10 with a value of 4.156934 and so on. The test results were carried out by comparing the results of the system with the calculation results, it was found that the results were appropriate.
Implementasi Aplikasi Kamus Audio Visual Bahasa Dayak Ngaju-Bahasa Inggris Pada PKBM Kencana Nusantara Rusdiana, Lili; Elmayantie, Catharina; Hardita, Veny Cahya; Rahman, Arif; Lestari, Rini Dian; Mahat, James Reynara B.
Jurnal Pengabdian Masyarakat - PIMAS Vol. 3 No. 1 (2024): Februari
Publisher : LPPM Universitas Harapan Bangsa Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35960/pimas.v3i1.1303

Abstract

Bahasa daerah dan bahasa Inggris tidak asing lagi dalam pelajaran yang disajikan dalam bentuk mata pelajaran diberikan untuk siswa Sekolah Dasar, baik swasta maupun negeri. Kegiatan pengabdian masyarakat dilakukan pada PKBM Kencana Nusantara untuk siswa tingkat sekolah dasar yaitu mengenai pembelajaran bahasa Dayak Ngaju dan bahasa Inggris dalam bentuk aplikasi kamus dengan fitur audio visual. Aplikasi menyuguhkan 3 topik yaitu tentang makanan dan minuman, anggota tubuh, dan peralatan di dalam kelas. Kegiatan ini diikuti oleh 19 siswa dan 2 tutor PKBM untuk mendampingi siswa. Metode penyampaian materi dilakukan secara teori dan praktik. Antusias siswa dalam mengikuti kegiatan diukur dengan polling sebelum dan sesudah kegiatan berlangsung. Dari hasil pretest, ditemukan masih ada siswa yang tidak suka atau menjawab “tidak” untuk pertanyaan yang diberikan terkait materi dari kegiatan pengabdian. Namun, setelah kegiatan dilakukan, melalui posttest, didapat semua siswa suka atau menjawab “ya” untuk pertanyaan yang diberikan terkait kegiatan pengabdian. Hal ini menunjukkan bahwa melalui kegiatan ini dapat meningkatkan pemahaman siswa dalam pembelajaran bahasa dan mempraktikannya, terutama bahasa Dayak Ngaju dan bahasa Inggris melalui aplikasi kamus berfitur audio visual.
AUGMENTED REALITY PENGENALAN MENU “POINT COFFEE” Hardita, Veny Cahya; Elmayantie, Catharina; Kaharuddin, Kaharuddin
Jurnal Sains Komputer dan Teknologi Informasi Vol. 7 No. 1 (2024): Jurnal Sains Komputer dan Teknologi Informasi
Publisher : Institute for Research and Community Services Universitas Muhammadiyah Palangkaraya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33084/jsakti.v7i1.8334

Abstract

Point Coffee Indomaret Fresh G. Obos has a hot/iced coffee menu provided. Many people do not know about composition of some coffee menus available. Sometimes it takes an explanation from the barista to find out the composition content of the Point Coffee menu. Another problem is that when there is a discount promotion, it does not exclude the possibility of a long enough queue so that it takes a lot of time for the barista to make a transaction while explaining the menu. In this study, the authors develop an application using Augmented Reality to introduce Point Coffee's existing coffee menu. The type of research used is Research and Development (R&D). Data collection techniques use interviews, documentation and library research. While Augmented Reality Application is based on marker. The development of this application uses Unity Engine and AR Core. An Augmented Reality application that features 6 (six) best seller main menus can be implemented in Point Coffee as an application which helps barista in explaining the main ingredients in the existing menu, as well as making it easier for customers to know the main ingredients of the drinks they are going to order. Keywords: Point Coffee, Indomaret, Augmented Reality, Unity, AR Core
Application of Time Series for Palm Oil Production Prediction at PT. Dwie Warna Karya : PENERAPAN TIME SERIES UNTUK PREDIKSI PRODUKSI MINYAK KELAPA SAWIT DI PT. DWIE WARNA KARYA Putri, Elsa Monica; Hardita, Veny Cahya; Elmayantie, Catharina
Jurnal Sains Komputer dan Teknologi Informasi Vol. 7 No. 2 (2025): Jurnal Sains Komputer dan Teknologi Informasi
Publisher : Institute for Research and Community Services Universitas Muhammadiyah Palangkaraya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33084/jsakti.v7i2.9446

Abstract

Fluctuations in palm oil production at PT. Dwie Warna Karya negatively impact the company's efficiency and profitability. This study aims to implement the Time Series method using the SARIMA model to accurately predict palm oil production, enabling the company to make better decisions in production planning and operations. This research employs a quantitative approach with descriptive and predictive analysis, utilizing data collected through interviews, literature studies, and historical production documentation. The SARIMA (1,1,1)(1,1,1)12_{12} model is identified as the most suitable for forecasting palm oil production over the next 12 months. The model indicates that production is influenced by previous values, requires first-order differencing to address trends, and includes a random component affected by prior forecasting errors, both in the short-term and seasonal patterns. This SARIMA model enhances forecasting accuracy and serves as a valuable reference for production planning, inventory management, and strategic decision-making.
Co-Authors Abdul Hadi Amrullah, Ahmad Zuli Arif Rahman Catharina Elmayantie, Catharina Ema Utami Emha Taufiq Luthfi Hammad, Rifqi Herkules Kaharuddin Lestari, Rini Dian Lili Rusdiana, Lili Mahat, James Reynara B. Normalia, Normalia Putri, Elsa Monica Seveniardy, I Nyoman Leofrensa Sherly Jayanti Sholeha, Eka Wahyu Zulfikri, Muhammad