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All Journal Jurnal Teknik ITS IPTEK Journal of Proceedings Series IPTEK The Journal for Technology and Science PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic International Journal of Advances in Intelligent Informatics JURNAL SOSIAL HUMANIORA (JSH) International Journal of Artificial Intelligence Research Indonesian Journal of Electrical Engineering and Computer Science

Ginardi, Raden Venantius Hari

Departemen Informatika Institut Teknologi Sepuluh Nopember

Author-ID : 2476308

Computer Science & IT Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering

Published : 19 Documents Claim Missing Document

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Schedule Request dan Event Reminder pada Aplikasi Finding Tutor I Made Fandy Aditya Wirana; Raden Venantius Hari Ginardi; Abdul Munif
Jurnal Teknik ITS Vol 7, No 2 (2018)
Publisher : Direktorat Riset dan Pengabdian Masyarakat (DRPM), ITS

Finding Tutor merupakan aplikasi Android untuk mempertemukan Murid dengan Guru/Tutor. Penambahan fitur baru pada Aplikasi Finding Tutor bertujuan untuk mengurangi kejadian terlambat dan lupa pertemuan. Fitur yang akan ditambah adakah Schedule Request dan Event Reminder. Pada Fitur Schedule Request, memiliki tiga sub-fitur, yaitu Multiple Request yakni pencarian tutor secara terjadwal, Instant Request yakni pencarian tutor secara instan dan Manage Schedule yakni pengaturan agenda pertemuan tutor. Fitur event reminder berupa notifikasi yang mengingatkan kejadian-kejadian transaksi yang terjadi. Terdapat empat notifikasi pada fitur ini. Notifikasi adanya request tutor datang dan request tutor diterima, notifikasi pengingat pertemuan harian, notifikasi pengingat keterlambatan dan notifikasi ada request datang berdasarkan alamat yang paling sering diterima Tutor. Berdasarkan hasil pengujian aplikasi dengan metode blackbox dan kuisioner, dapat disimpulkan fitur yang dibangun berfungsi dengan baik serta kegunaan dari fitur tercapai

Aplikasi Scoring Perilaku Pengemudi Menggunakan Sensor Fusi Anindita Larasati; Raden Venantius Hari Ginardi; Sarwosri Sarwosri
Jurnal Teknik ITS Vol 7, No 2 (2018)
Publisher : Direktorat Riset dan Pengabdian Masyarakat (DRPM), ITS

Faktor tertinggi penyebab kecelakaan lalu lintas masih dipegang oleh faktor perilaku pengemudinya. Hal ini membuat beberapa peneliti mencari berbagai cara untuk mengurangi tingkat kecelakaan yang terjadi akibat kelalaian pengemudi. Saat ini sudah mulai dikembangkan aplikasi untuk mendeteksi perilaku pengemudi secara teknis lewat sensor. Namun masih belum dapat diketahui apakah perilaku pengemudi tersebut baik atau buruk. Pada peneitian ini akan dilakukan pengembangan aplikasi scoring perilaku pengemudi lewat pergerakan mobilnya. Sistem ini menggunakan metode fusion sensor dari tiga sensor yang ada pada smartphone android. Ketiga sensor yang akan dikolaborasikan adalah gyroscope, accelerometer, dan magnetometer. Data yang dideteksi oleh sensor-sensor tersebut akan diolah untuk memberikan penilaian terhadap perilaku pengemudi. Perilaku yang akan diamati meliputi belok mendadak, penambahan kecepatan mendadak, dan pengurangan kecepatan mendadak. Pengemudi juga dapat senantiasa melihat setiap manuver yang dilakukan apakah normal atau agresif. Setelah dideteksi, aplikasi akan mengeluarkan output score pengemudi berupa angka nol sampai seratus. Uji coba dilakukan dengan kondisi jalan yang berbeda, mobil berbeda, serta handphone yang berbeda. Dari uji coba yang dilakukan, dapat diketahui bahwa aplikasi sudah dapat menilai perilaku pengemudi dengan stabil.

Anomaly detection on flight route using similarity and grouping approach based-on automatic dependent surveillance-broadcast Mohammad Yazdi Pusadan; Joko Lianto Buliali; Raden Venantius Hari Ginardi
International Journal of Advances in Intelligent Informatics Vol 5, No 3 (2019): November 2019
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/ijain.v5i3.232

Flight anomaly detection is used to determine the abnormal state data on the flight route. This study focused on two groups: general aviation habits (C1)and anomalies (C2). Groups C1 and C2 are obtained through similarity test with references. The methods used are: 1) normalizing the training data form, 2) forming the training segment 3) calculating the log-likelihood value and determining the maximum log-likelihood (C1) and minimum log-likelihood (C2) values, 4) determining the percentage of data based on criteria C1 and C2 by grouping SVM, KNN, and K-means and 5) Testing with log-likelihood ratio. The results achieved in each segment are Log-likelihood value in C1Latitude is -15.97 and C1Longitude is -16.97. On the other hand, Log-likelihood value in C2Latitude is -19.3 (maximum) and -20.3 (minimum), and log-likelihood value in C2Longitude is -21.2 (maximum) and -24.8 (minimum). The largest percentage value in C1 is 96%, while the largest in C2 is 10%. Thus, the highest potential anomaly data is 10%, and the smallest is 3%. Also, there are performance tests based on F-measure to get accuracy and precision.

The Influence of Health Facilities Information System Application in The Business Process of Clinic Bunga Melati Geby Firdana Puspa; Raden Venantius Hari Ginardi
IPTEK Journal of Proceedings Series No 6 (2020): 6th International Seminar on Science and Technology 2020 (ISST 2020)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j23546026.y2020i6.11142

In this competitive business era, Klinik Bunga Melati (KBM) has changed its business and management strategies 3 times in the last 2 years with the aim of adjusting internal and external conditions in the health sector and make KBM superior to other competitors. KBM expects the development of technology that can be applied efficiently and integrated between KBM internally. In 2018, KBM teamed up with the Badan Penyelenggara Jaminan Sosial (BPJS) Kesehatan. In this regard, BPJS provides a Health Facilities Information System (HFIS) with the aim of making it easier for health units to make claims. But the leader of the KBM considers HFIS not suitable to be implemented in the KBM Welirang Branch. The KBM Welirang Branch staff must do 2x recapitulation of patient medical records every day. There are quite a lot of variables in HFIS besides self-data, staff must also write data related to diagnosis, details of drugs used, drug costs, and doctor's fees. Based on the KBM leaders interview, this is considered to be very time-consuming and costly because HR has to work 2x more and patients need more time to get action. HOT-Fit method is considered suitable for this research because this model can provide an explanation and provide an evaluation of the application a system in the field of health services from human factors (human), technology (technology), organization (organization) and net benefits. The output of this research is an analysis of aspects that need to be improved and the match rate of HFIS implementation in the KBM Welirang.

Analysis of Application Based on Cloud Computing in Banking Industries in Indonesia Using Technology Acceptance Model (TAM) 2 Method Case Study The National Private Banks in Surabaya and Bali Region I Wayan Jatu Wira Purnama; Raden Venantius Hari Ginardi
IPTEK Journal of Proceedings Series No 5 (2019): The 1st International Conference on Business and Management of Technology (IConBMT)
Publisher : Institut Teknologi Sepuluh Nopember

Cloud computing applications remain rarely used in the banking industry in Indonesia. X is one of the national private banks in Indonesia, which is the first bank to use cloud computing application in their operations. Since it is the first bank to use such technology, the the researcher aims to measure the acceptance and ease of use of cloud computing-based applications, and to measure the level of user satisfaction with the TAM 2 method (Technology Acceptance Model 2). The researcher used the TAM 2 method because it is the development of the TAM 1 method which adds social influence and external perspective variables. Variables in TAM 2 are subjective norms, image, result demonstrability, job relevance, voluntariness, perceived usefulness, perceived ease of use, intention to use and usage behavior. Distribution of questionnaire samples was conducted to 90 respondents in Surabaya and Bali. Data from the questionnaire were tested in terms of validity and reliability, correlation and regression, variable descriptive analysis, and hypothesis. From the results, it was found that the twelve hypotheses in TAM 2 were all acceptable and the most significant effect was the outcome quality variable towards the benefits of using cloud computing applications at 41.2%. Therefore, it can be concluded that the greater the quality of the result of cloud computing applications, the greater the benefits of the technology

Optimizing The Fertility Rate of Sugarcane Crops at Precision Agriculture Using The Fuzzy Logic Method Achmad Arif Alfin; Raden Venantius Hari Ginardi
IPTEK The Journal for Technology and Science Vol 31, No 3 (2020)
Publisher : IPTEK, LPPM, Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j20882033.v31i3.6367

Soil fertility has a significant role in the sugarcane plantation industry to maintain plant fertility so that optimal yield productivity is obtained. The management system that has been used by farmers only based on practices and estimation, so that it can not determine the exact needs of water, lime and fertilizers in each area of the plant. Therefore, we need a system that are able to provide a reference for giving water volume, lime content and fertilization according to the level of nutritional needs of sugarcane plants. This study aims to design a system that is able to provide recommendations for sugarcane needs, based on soil nutrient content using the fuzzy logic method. The first step in this method is the fuzzification process carried out on four types of data used as input parameters, namely soil moisture, soil pH, plant phase, and nutrient content. The next step is choosing the relevant criteria from each assessment to get best alternative. The next stage, a membership function is created to estimate the next process and defuzzification process. According to the result of the study found the value of cost efficiency, optimization of growth in stem height and plant tillers. The resulting cost efficiency is 30.05% compared to the factory method. While the level of optimization of plant growth compared to the factory method, tillering growth increased 8% but the growth of primary stem height was higher by the factory method of 3%.

The Rate of Seller Correctness in Naming Batik Solo Pattern: Studied in Indonesia Online Marketplace Berlian Rahmy Lidiawaty; Mohammad Isa Irawan; Raden Venantius Hari Ginardi
JURNAL SOSIAL HUMANIORA (JSH) Special Edition 2020
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j24433527.v0i1.6780

Every pattern in batik Solo has different meaning that affects its use. There are patterns for cultural ceremony, including funerals. Therefore, the seller of batik Solo’s product have to be able to give the right title as the name of its product in online marketplace, so the customer will not missw ear the batik in the wrong ceremony. According to the importance of naming batik Solo’s product, this study aims to assess the accuracy of batik Solo pattern naming by sellers in Indonesian online marketplace. Thus the result of it can be used by the buyer as a recommendation where is the best marketplace to purchase the batik Solo product. First, the study collect the images sample from four biggest marketplace in Indonesia; Tokopedia, Bukalapak, Shopee and Lazada. The sample was collected by inputing the name of batik Solo pattern in the marketplace’s search bar. The keywords that have been used to collect the sample are batik parang, batik truntum, batik sawat, batik kawung and batik slobog. Those are the kinds of batik Solo pattern that has different expedience from each other. After 834 samples have been collected, the study assigns whether the seller give the correct name to the batik Solo product or not. The result of this study are the correctness percentage (CP) of the seller in naming their batik Solo product. In general the CP is 82,13%, Marketplace with the highest CP is Lazada (95,42%) and the highest CP of pattern is parang (91%). Beside that, the study also rates marketplace with the parameter of Best Marketplace by Pattern (BMP) and Best Marketplace of Category (BMC). The study divided the parameters to rate marketplace, because the best marketplace that has the highest correctness percentage in one category of a pattern is not always be a marketplace that has the highest correctness percentage in that pattern.

Optimum partition in flight route anomaly detection Mohammad Yazdi Pusadan; Joko Lianto Buliali; Raden Venantius Hari Ginardi
Indonesian Journal of Electrical Engineering and Computer Science Vol 14, No 3: June 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v14.i3.pp1315-1329

Anomaly detection of flight route can be analyzed with the availability of flight data set. Automatic Dependent Surveillance (ADS-B) is the data set used. The parameters used are timestamp, latitude, longitude, and speed. The purpose of the research is to determine the optimum area for anomaly detection through real time approach. The methods used are: a) clustering and cluster validity analysis; and b) False Identification Rate (FIR). The results archieved are four steps, i.e: a) Build segments based on waypoints; b) Partition area based on 3-Dimension features P1 and P2; c) grouping; and d) Measurement of cluster validity. The optimum partition is generated by calculating the minimum percentage of FIR. The results achieved are: i) there are five partitions, i.e: (n/2, n/3, n/4, n/5) and ii) optimal partition of each 3D, that is: for P1 was five partitions and the P2 feature was four partitions

The Use of Location-Based Augmented Reality as Information Media in The Digital Map Application of Jakabaring Sport City Siska Arifiani; Miranda Manurung; Raden Venantius Hari Ginardi
PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Vol 9 No 2 (2021): September 2021
Publisher : LPPM Universitas Islam 45 Bekasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33558/piksel.v9i2.2981

Jakabaring Sport City (JSC) is an integrated sports facility complex and a public tourist spot in Palembang. Due to its extensive area and numerous facilities, visitors need a map with distinct markers for the landmark to make it easier when walking around. Recent technology advancements and its expanding role in various fields invites the question on how to integrate technology in the tourism industry. This journal aims to create an android-based digital map application with augmented reality (AR) as a guiding medium that will display directions towards the Jakabaring exit gate. This app is built using Maps SDK for Android to build the digital maps, Navigation SDK for Android to run navigation, and Maps for Unity to display AR objects that will show the directions towards the exit. The development focuses on a location-based service using GPS to track the user's whereabouts and provide real-time location data around the user. This application has a location search feature, a guiding direction (route and navigation) to a designed location, and an AR camera feature to display where the JSC exit gate is located. Every feature is working well and able to help users while visiting JSC. However, this application could still be improved in the AR feature because on its current version, it is only able to display directions to the JSC exit gate when users are within a radius of one kilometer or less to the exit.

Co-Authors ABDUL MUNIF Achmad Arif Alfin Ahmadiyah, Adhatus Solichah Ainul Mu'alif Alifa Ridho Musthafa Anggeriko Aryasena Anindita Larasati Baskoro, Fajar Buliali, Joko Lianto Chastine Fatichah Diana Purwitasari F.X. Arunanto Geby Firdana Puspa Hadziq Fabroyir I Made Aditya Pradnyadipa Mustika I Made Fandy Aditya Wirana I Wayan Jatu Wira Purnama Kania Amalia Khakim Ghozali Miranda Manurung Mohammad Isa Irawan Mohammad Yazdi Pusadan Muchammad Husni Muhammad Yusuf Prasetyo Prasetyo Rachmatulloh, Yendy Rahmatin Nadia Ridho Rahman Hariadi Sarwosri Sarwosri Siska Arifiani Siti Mutrofin Tegar Rachman Muzzammil

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