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INDONESIA
Jurnal Pilar Nusa Mandiri
Published by STMIK Nusa Mandiri
ISSN : 19781946     EISSN : 25276514     DOI : -
Core Subject : Science,
Computer Science & IT
Jurnal Pilar merupakan jurnal ilmiah yang diterbitkan oleh program studi sistem informasi STMIK Nusa Mandiri. Jurnal ini berisi tentang karya ilmiah yang bertemakan: Rekayasa Perangkat Lunak, Sistem Pakar, Sistem Penunjang, Keputusan, Perancangan Sistem Informasi, Data Mining, Pengolahan Citra.
Arjuna Subject : -
Articles 322 Documents
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DESIGN AND DEVELOPMENT OF WEB-BASED INFORMATION SYSTEM FOR OFFICE STATIONERY PROCUREMENT MANAGEMENT Novita BR Ginting; Yuggo Afrianto; Eko Wahyudi; Leny Tritanto Ningrum; Jejen Jaenudin
Jurnal Pilar Nusa Mandiri Vol 18 No 1 (2022): Publishing Period for March 2022
Publisher : LPPM Universitas Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/pilar.v18i1.2995

Abstract

Office Stationery (ATK) is an item used to do written work such as paper, books, ink, pencils, pens, paper clamps, and others. ATK is a supporting tool that has an important role in implementing the administrative function of a company or agency. The management of ATK procurement in the Bogor Agricultural Institute (IPB) is under the coordination of the Directorate of Infrastructure, Facilities, and Campus Environmental Security (DPSPLK) as a coordination unit at the central level. So far, the procurement of ATK in every work unit in the IPB environment uses a direct purchase method. Direct purchasing methods cause problems and weaknesses, including: (1) price differences between providers for the same goods, (2) the quality of providers varies because each work unit directly selects providers, (3) vulnerability to price manipulation, (4) needed storage space for goods in each unit, (5) management and organization of ATK data are carried out partially in each work unit. Atk data management and organization have not been systemized, making it difficult for DPSPLK to reconcile data. An umbrella contract procurement method (framework contract) is applied to deal with problems in the direct purchase method. Management and organization of unsystematic ATK data, an integrated information system is built to facilitate DPSPLK reconciling data for reporting needs. The information system development method uses the waterfall method and testing using the User Acceptance Test (UAT) black-box type. This research resulted in the procurement and management application of ATK used by DPSPLK
IMPLEMENTATION OF THE HAVERSINE METHOD FOR THE APPLICATION OF FINDING TOURIST ATTRACTIONS IN NANGGUNG DISTRICT Fety Fatimah; Safaruddin Hidayat Al Ikhsan; Berlina Wulandari
Jurnal Pilar Nusa Mandiri Vol 18 No 1 (2022): Publishing Period for March 2022
Publisher : LPPM Universitas Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/pilar.v18i1.3000

Abstract

Traveling is one of the most popular hobbies nowadays. Natural tourist destinations located in the countryside are a choice for travelers. There are several tourist sites located in the country of Bogor, one of which is in the district of Nanggung. Nanggung sub-district is in the region of west Bogor, approximately 60 km from the capital city of Bogor Regency (Cibinong). The location of the Nanggung sub-district has an area of 135.25 km2, located near the foot of Mount Salak, creating a beautiful atmosphere and quite cold air. There are approximately 30 tourist destinations in the Nanggung sub-district. Base mobile application to help tourists determine the nearest destination. This mobile application helps domestic and foreign tourists select the closest tourist sites visited in Nanggung, Bogor Regency. The haversine method used to calculate the distance is the haversine method. The haversine method estimates the distance. Haversine will calculate the distance between the application user and the location of the surrounding tourist points located in the Nanggung sub-district. This study aims to calculate the length of application users to tourist sites. So that users get convenience in determining the closest location from the application user's position.
DEVELOPMENT OF AN ELECTRONIC PUBLIC COMPLAINTS SYSTEM TO IMPROVE PUBLIC SERVICES Alfry Aristo J Sinlae; Yeni Daniarti; Dedy Alamsyah; Amat Damuri
Jurnal Pilar Nusa Mandiri Vol 18 No 1 (2022): Publishing Period for March 2022
Publisher : LPPM Universitas Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/pilar.v18i1.2969

Abstract

Public complaints are essential for the government to see how successful it is in carrying out activities. Public complaints are an essential element for local agencies because complaints are aimed at correcting the shortcomings of the activities that have been carried out. The absence of an electronic complaint system will hamper the complaint reporting process, so repairing deficiencies in government agencies will be hampered. The delay in repairing deficiencies in the agency will, of course, also affect the services provided to the community. The government can certainly use technology development to improve public services from the government to the community. This study discusses the development of an online-based public complaint system with the website-based Extreme Programming (XP) method that the public can access so that complaint reports can be submitted in real-time. The results of testing the complaint system from the usability side show an average value of 88.7% in the excellent category, so the application is feasible to use and as needed.
COMPARISON OF LEXRANK ALGORITHM AND MAXIMUM MARGINAL RELEVANCE IN SUMMARY OF INDONESIAN NEWS TEXT IN ONLINE NEWS PORTALS Siti Tuhpatussania; Ema Utami; Anggit Dwi Hartanto
Jurnal Pilar Nusa Mandiri Vol 18 No 2 (2022): Publishing Period for September 2022
Publisher : LPPM Universitas Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/pilar.v18i2.3190

Abstract

The presence of online media has shifted print media for news readers to get information that is fast, accurate, and easy to access. However, the problem arises because the length of the news text makes the reader bored to search for the news as a whole so the news that is obtained will be less accurate. For this reason, it is necessary to have an automatic text summary that was raised in this study as well as to compare the Maximum Marginal Relevance (MMR) algorithm and the LexRank algorithm to the summary of Indonesian news texts on the online news portal graphanews. com. the results of the comparison test of text summarization using f-measure , precision and recall show the performance of text summarization with the MMR algorithm is better where f-measure is 91.65%, precision is 91.08% and recall is 92.23%.
MAPPING LOCATIONS AND SHORTEST ROUTE OF TOURISM OBJECTS IN CENTRAL LOMBOK USING GIS-BASED A-STAR ALGORITHM Rudi Muslim; Beni Ari Hidayatullah; Bahtiar Imran; Ahmad Yani; Salman Salman
Jurnal Pilar Nusa Mandiri Vol 18 No 2 (2022): Publishing Period for September 2022
Publisher : LPPM Universitas Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/pilar.v18i2.3927

Abstract

Central Lombok tourism is a tourism that foreign and domestic tourists often visit. There are many tourist objects offered by the Central Lombok Government, such as waterfall tours, beach tours, traditional village tours, cultural tours, and Pertamina Mandalika International Street Circuit. However, there are many tourist objects, and not all tourists know the location of these tourist objects. Tourists often experience constraints, are the location of tourist objects that is not quite right, it is still difficult to determine the shortest route to the location, and the lack of complete information about existing tourist objects, which can hinder the journey of tourists to the destination location. This study aims to map the location and shortest route of tourism objects in Central Lombok using an Android-based Geographic Information System by applying the A-Star algorithm. The results of this study are to develop an Android-based Geographic Information System or GIS by applying the star algorithm to Central Lombok tourism objects. So that the mapping of the location and information of tourist objects and obtain the search for the shortest route to tourist objects. The A-Star algorithm uses heuristic principles to find the shortest route to a tourism object and is optimal in finding the shortest route to tourism objects
COMPARISON OF PORTERS STEMMING ALGORITHM AND NAZIEF & ADRIANI'S STEMMING ALGORITHM IN DETERMINING INDONESIAN LANGUAGE LEARNING MODULES Siti Tuhpatussania; Ema Utami; Anggit Dwi Hartanto
Jurnal Pilar Nusa Mandiri Vol 18 No 2 (2022): Publishing Period for September 2022
Publisher : LPPM Universitas Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/pilar.v18i2.3940

Abstract

One of the methods used to improve the performance of text summarization to obtain complete information in a learning module is by transforming the words in a module into basic words or, in other words, through a steaming process. The steaming process in Indonesian language texts is more complicated/complex because there are word affixes that must be removed to get the root word (root word) of a word, so this research will compare the two stemming algorithms of Porter and stemming Nazief & Adriani in the learning module at Mataram University of Technology. The test results of the Nazief & Adriani stemming algorithm on an average process duration of 51.8 seconds with an average accuracy of 74.175%. In Porter's Algorithm, the average processing time is 16.875 seconds, with an accuracy of 73.225%.
SENTIMENT ANALYSIS ON THE TWITTER PSSI PERFORMANCE USING TEXT MINING WITH THE NAÏVE BAYES ALGORITHM
Jurnal Pilar Nusa Mandiri Vol 18 No 2 (2022): Publishing Period for September 2022
Publisher : LPPM Universitas Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/pilar.v18i2.3938

Abstract

Social media has developed rapidly today, so social media is no longer just a place to interact and socialize but also to express opinions or criticize a particular party or institution. After the incident at the Malang Kanjuruhan stadium in October 2022, many netizens criticized the performance of PSSI as Indonesia's number one organization that oversees football competitions in Indonesia. For this reason, sentiment analysis was carried out on the official PSSI account on Twitter to assess the performance of PSSI by grouping them as Satisfied and Unsatisfied using the Naïve Bayes Classifier. Sentiment analysis took tweets from the official PSSI account and as many as 1000 comments to be used as a dataset. Then preprocessing is carried out in the GATA Framework using the Annotation Removal, Remove Hashtag, Transformation Remove URL, Regexp, Indonesian Steaming, and Indonesian Stopword Removal methods. The results obtained were 82.82% for accuracy, 78.69% for precision, 90.33% for recall, and 0.866 for AUC. With these results, the value obtained is at a good classification level.
CLOTH BAG OBJECT DETECTION USING THE YOLO ALGORITHM (YOU ONLY SEE ONCE) V5
Jurnal Pilar Nusa Mandiri Vol 18 No 2 (2022): Publishing Period for September 2022
Publisher : LPPM Universitas Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/pilar.v18i2.3019

Abstract

The use of plastic in modern life is increasing rapidly, causing the number of people who use plastic to increase, one of which is when shopping. The function of plastic bags as packaging for luggage is not comparable to the impact caused by plastic waste in the years to come. Plastic bags take a long time, even hundreds to thousands of years, to completely decompose. In order to support the government's program to reduce the use of plastic bags, this study will discuss how to detect cloth bags as a substitute for plastic bags. In this research, a system will be implemented to detect the use of cloth bags with Roboflow and Yolo v5. After carrying out all stages of the research, it can be concluded that the goodie bag detection model has been successfully created. The detection model was created using the YOLOV5 algorithm. The dataset used consists of 102 goodie bag images. The process model uses 100 epochs with the training result mAP@0.5 is 89.8%. So, in other words, it can be said that YOLO v5 can detect goodie bags very well.
NEW STUDENT CLUSTERIZATION BASED ON NEW STUDENT ADMISSION USING DATA MINING METHOD Anita Diana; Atik Ariesta; Arief Wibowo; Diva Ajeng Brillian Risaychi
Jurnal Pilar Nusa Mandiri Vol 19 No 1 (2023): Publishing Period for March 2023
Publisher : LPPM Universitas Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/pilar.v19i1.4089

Abstract

The process of admitting new students to the Faculty of Information Technology (FTI) at Universitas Budi Luhur produces a large amount of student data in the form of student profile data and other data. This happens causing a buildup of new student data, thus affecting the search for information on that data. This study aims to classify regular undergraduate admissions data at the Faculty of Information Technology (FTI) Universitas Budi Luhur by utilizing the data mining process using the clustering technique. The algorithm used for clustering is the K-Means algorithm. K-Means is a non-hierarchical clustering data method that can group student data into several clusters based on the similarity of the data, so that student data with the same characteristics is grouped in one cluster and those with different characteristics are grouped in another cluster. An implementation using RapidMiner is used to help find accurate values. This research produced a description of what clusters were formed from data on regular undergraduate admissions at the Faculty of Information Technology (FTI) at Universitas Budi Luhur. This will help recommend decision-making to determine the marketing promotion strategy for each study program at Universitas Budi Luhur. Based on the results of the K-Means algorithm cluster, it can also be seen which majors or study programs are of interest in each school from which new students come.
EVALUATION OF USER SATISFACTION USING THE PIECES FRAMEWORK IN THE TEMAN BUS APPLICATION Laurensia Anjelina Tutosili Arakian; I Gede Mahendra Darmawiguna; I Gusti Ayu Agung Diatri Indradewi
Jurnal Pilar Nusa Mandiri Vol 19 No 1 (2023): Publishing Period for March 2023
Publisher : LPPM Universitas Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/pilar.v19i1.3948

Abstract

The TEMAN BUS program employs technology to improve road-based public transportation in urban areas. The Ministry of Transportation of the Republic of Indonesia implements digital transformation by developing the TEMAN BUS application to support TEMAN BUS transportation services. Passengers will find it more straightforward with this application to access the TEMAN BUS travel route, view information about the departure timetable, and observe bus arrivals in real time. To evaluate an application's effectiveness, it is necessary to assess the user's impression when the program is launched. This study uses the PIECES Framework, which has six variables Performance, Information, Economics, Control and Security, Efficiency, and Service, to assess how users perceive the TEMAN BUS application. The findings of this study were derived from the perceptions of respondents, who felt that information and data performance, control and security, service, and user satisfaction were not good, and from the findings of hypothesis testing, which suggested that information and data performance and user satisfaction were unrelated.

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