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Successful Surgical Management of Partial Obstructive Ileus Secondary to Intra-abdominal Tumor: A Case Report Bambang Irwansyah; Ida Bagus Budhi Surya Adnyana
Open Access Indonesian Journal of Medical Reviews Vol. 5 No. 1 (2025): Open Access Indonesian Journal of Medical Reviews
Publisher : HM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37275/oaijmr.v5i1.702

Abstract

Partial obstructive ileus, characterized by incomplete intestinal blockage, can arise from various etiologies, including intra-abdominal tumors. These tumors, often compressing or obstructing the bowel lumen, necessitate prompt diagnosis and intervention to prevent severe complications. This case report presents a 42-year-old woman with partial obstructive ileus secondary to an intra-abdominal tumor, highlighting the diagnostic process, surgical management, and clinical outcomes. A 42-year-old female presented to the emergency department with abdominal distension, pain, and a two-day history of constipation. Physical examination revealed abdominal tenderness, and radiographic imaging confirmed partial obstructive ileus with pneumoperitoneum. Initial management focused on hemodynamic stabilization, fluid resuscitation, and nasogastric decompression. Subsequently, an exploratory laparotomy was performed, revealing an intra-abdominal tumor causing intestinal obstruction. Segmental tumor resection was successfully conducted, alleviating the obstruction. In conclusion, this case underscores the importance of considering intra-abdominal tumors in the differential diagnosis of partial obstructive ileus. Timely surgical intervention, including tumor resection, can effectively address the obstruction and improve patient outcomes. Further research is warranted to explore the long-term outcomes and prognostic factors associated with this condition.
Komunikasi Interpersonal Pimpinan Dalam Meningkatkan Kinerja Karyawan PT Bank SUMUT Syariah KCP Stabat Bambang Irwansyah; Yaumul Khair Afif
Balance : Jurnal Akuntansi dan Manajemen Vol. 1 No. 2 (2022): Agustus 2022
Publisher : Lembaga Riset Ilmiah

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (348.863 KB) | DOI: 10.59086/jam.v1i2.93

Abstract

The purpose of this study was to determine leadership interpersonal communication in improving employee performance at the Bank Sumut Syariah Office KCP Stabat. This type of research is qualitative research. Methods of collecting data by means of observation, interviews and documentation. Data analysis techniques used with data obtained through the process of data reduction, data presentation and conclusion drawing or verification. The results of this study show that the implementation of interpersonal communication at PT Bank Sumut Syariah KCP Stabat occurs directly (primary) and indirectly (secondary), between employees and leaders apply the law of positive attitudes in interpersonal communication including: openness, empathy, supportive attitude, positive attitude, equality. The importance of leadership interpersonal communication in improving employee performance, part of the interpersonal communication of leaders is able to have an impact on employee work motivation, because it is able to meet the needs of security, social needs, the need for appreciation, the need for self-actualization, but there are some needs that cannot be influenced by their existence. interpersonal communication, namely physiological needs and self-transcendence. Supporting factors for interpersonal communication include the internal factors of the personal communicator, speaking ethics with courtesy, realistic, time, place and openness. While the inhibiting factors for interpersonal communication of leaders in increasing employee work motivation include the intent of the communicator not being accepted by the communicant, presumptions between the communicator and the communicant, the communicator not being interested in communication.
Sistem Informasi Pencatatan Transaksi Obat pada UPTD Instalasi Farmasi Kota Tanjungbalai Raja Syahmuda Siregar; Bambang Irwansyah
Merkurius : Jurnal Riset Sistem Informasi dan Teknik Informatika Vol. 4 No. 1 (2026): Januari : Merkurius: Jurnal Riset Sistem Informasi dan Teknik Informatika
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/merkurius.v4i1.1451

Abstract

This study aims to design a drug inbound and outbound transaction application that can improve the effectiveness and efficiency of drug data management at the UPTD Pharmacy Installation of Tanjungbalai City. The research method used in this study is a descriptive qualitative method with a case study approach. Data collection was carried out through direct observation at the research location, interviews with pharmacy staff, and documentation studies of documents related to drug management. The data obtained were then analyzed to identify weaknesses in the current system and determine the system requirements to be designed. The results of the study indicate that the existing manual recording system has not been able to support optimal drug management because it is less effective and prone to errors. The drug inbound and outbound transaction application designed in this study can assist pharmacy staff in recording incoming and outgoing drug data, monitoring drug stock in real-time, and generating reports automatically.
Clustering Karakteristik Pasien RSUD Perdagangan Berdasarkan Intensitas Pelayanan Menggunakan Metode K-Medoids Mhd Zahir Az Zikri; Bambang Irwansyah; M Yoggi Saputra; Rahmat; Ridho Agusman; Kafilano Armanda A. R; Nasir Fadillah Marpaung; Sultan Nico Nur'Arsy
Jurnal Pengabdian Masyarakat dan Riset Pendidikan Vol. 4 No. 3 (2026): Jurnal Pengabdian Masyarakat dan Riset Pendidikan Volume 4 Nomor 3 (Januari 202
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jerkin.v4i3.5066

Abstract

Pemanfaatan teknologi informasi dalam bidang kesehatan berperan penting dalam pengelolaan data pasien secara efektif. Rumah sakit menghasilkan data dalam jumlah besar yang menyimpan informasi mengenai karakteristik dan intensitas pelayanan. Penelitian ini bertujuan untuk mengelompokkan pasien RSUD Perdagangan berdasarkan tingkat intensitas pelayanan menggunakan metode K-Medoids. Data yang digunakan berupa data sekunder sebanyak 100 pasien dengan lima variabel utama, yaitu umur, lama rawat inap, jumlah kunjungan per tahun, jumlah tindakan per kunjungan, dan durasi kunjungan. Metode penelitian menggunakan pendekatan kuantitatif dengan teknik data mining melalui tahapan pengumpulan data, pra-pemrosesan, seleksi atribut, normalisasi, serta proses clustering menggunakan algoritma K-Medoids dan jarak Euclidean. Jumlah klaster ditentukan sebanyak tiga, yaitu klaster intensitas pelayanan rendah, sedang, dan tinggi. Hasil penelitian menunjukkan bahwa proses clustering mencapai kondisi konvergen pada iterasi kedua dengan nilai total simpangan yang tidak mengalami perbaikan. Metode K-Medoids terbukti mampu menghasilkan pengelompokan yang stabil dan representatif terhadap kondisi nyata pasien. Hasil pengelompokan ini dapat dimanfaatkan oleh pihak manajemen rumah sakit dalam perencanaan sumber daya, peningkatan mutu pelayanan, serta pengambilan keputusan strategis berbasis data.
IMPLEMENTASI ALGORITMA FUZZY C-MEANS DALAM CLUSTERING TINGKAT KEPUASAN MAHASISWA TERHADAP FASILITAS PENDIDIKAN Abdul Aziz Ardana; Bambang Irwansyah
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol. 9 No. 3 (2026): June 2026
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v9i3.6367

Abstract

The assessment of student satisfaction regarding educational facilities at the Faculty of Engineering, Universitas Asahan, has been subjective and limited to manual recapitulation. This study aims to implement a web-based Fuzzy C-Means (FCM) algorithm (using PHP and MySQL) to group student satisfaction levels more objectively. This study uses primary data obtained from questionnaires given to 200 respondents. Based on the computational testing results, the FCM algorithm successfully reached convergence and grouped the data into three clusters. From a total of 200 data, 89 respondents were in the Dissatisfied cluster (C1), 64 respondents in the Moderately Satisfied cluster (C2), and 47 respondents in the Satisfied cluster (C3). This system is also capable of grouping qualitative data in the form of student suggestions according to their clusters. This implementation is proven effective in generating accurate information as a comprehensive evaluation report for faculty leaders to prioritize eduacational facility improvements.
KLASIFIKASI STATUS GIZI BALITA MENGGUNAKAN DATA ANTROPOMETRI DENGAN ALGORITMA K-MEANS CLUSTERING Nurul Natasya; Bambang Irwansyah; Muhammad Azwar Al Ayyub
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol. 9 No. 3 (2026): June 2026
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v9i3.6558

Abstract

Nutritional status is an important indicator for assessing the growth and development of toddlers. Posyandu Desa Simpang Dolok has anthropometric data of toddlers, including age, weight, height, and head circumference; however, the data has not been optimally utilized to identify patterns in nutritional status grouping. This study aims to implement the K-Means Clustering algorithm to classify the nutritional status of toddlers, design a web-based application for the classification process, and determine the resulting clusters. The study used 200 toddler records, which were normalized using the Min-Max Normalization method before the clustering process. The system was developed using PHP and MySQL. The results showed that the K-Means algorithm successfully grouped the data into three clusters: 58 toddlers (29%) in the undernutrition cluster, 85 toddlers (43%) in the normal nutrition cluster, and 57 toddlers (28%) in the overnutrition cluster. In addition, the developed application was able to assist Posyandu officers in processing data and obtaining information on toddlers’ nutritional status more quickly, effectively, and systematically. Therefore, the implementation of the K-Means algorithm can be used as an alternative approach to support the monitoring of toddlers’ nutritional status at Posyandu Desa Simpang Dolok.